Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. . click apply for full job details
11/25/2025
Full time
Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. . click apply for full job details
Applied Researcher II (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Applied Researcher II (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Description: The Clinical Site Manager plays a crucial role in ensuring the Swedish Institute maximizes its clinical capacity across all health sciences programs. The position acts as the operational hub of the Institutes clinical site management system, providing oversight, coordination, and support to enhance student placement opportunities and ensure compliance with onboarding, contractual, and clinical site requirements. The Clinical Site Manager reports directly to the Director of Education and works closely with the Clinical Site Director, Program Deans, and Clinical Coordinators to oversee the operational aspects of clinical education partnerships. Key Responsibilities: 1. Capacity Management Determine and record the exact number of clinical slots assigned to each program at every affiliated site per institutional contracts. Contact each clinical site to confirm the number of available and active slots. Identify opportunities to expand clinical capacity and reach out to sites interested in greater collaboration. Monitor and confirm the use of clinical capacity to make sure student placement requirements are completely fulfilled. 2. Onboarding Coordination Identify and keep current onboarding requirements for every program and site. Develop, manage, and distribute an Onboarding Status Report that tracks essential milestones, ensuring the timely initiation of all clinical placements. Collaborate with Program Clinical Coordinators to ensure all students fulfill pre-placement onboarding requirements, including health, safety, and compliance documentation. Streamline the transfer of onboarding information between the Swedish Institute and clinical partners. 3. Contract Support Use the Clinical Site Tracking Form to collect and organize essential information for preparing site contracts and addenda. Work with the Clinical Site Director to draft and review contracts before giving final approval. Keep precise records of all master agreements and program-specific addenda for each site. Support the continued development of master agreements to enhance the Institutes contracting process. Collaboration and Institutional Coordination Collaborate with Program Deans to ensure clinical placements meet program learning outcomes and accreditation standards. Collaborate with Clinical Coordinators to verify student preparedness and compliance before placement. Coordinate communication between academic leadership and clinical site representatives to address operational or scheduling challenges. Requirements: Required: Bachelors degree in Health Sciences, Healthcare Administration, or a related field. At least 3 years of experience in academic clinical coordination, site management, or healthcare education operations. Excellent organizational and communication skills with strong attention to detail. Proficiency in Excel or comparable data management systems. Proven ability to handle multiple stakeholders and deadlines effectively. Preferred: Masters degree in Education, Healthcare Administration, or a related field. Previous experience in healthcare or nursing education. Knowledge of accreditation standards (e.g., ACCSC, CAAHEP). Compensation details: 0 Yearly Salary PI066c4f8a2-
11/25/2025
Full time
Description: The Clinical Site Manager plays a crucial role in ensuring the Swedish Institute maximizes its clinical capacity across all health sciences programs. The position acts as the operational hub of the Institutes clinical site management system, providing oversight, coordination, and support to enhance student placement opportunities and ensure compliance with onboarding, contractual, and clinical site requirements. The Clinical Site Manager reports directly to the Director of Education and works closely with the Clinical Site Director, Program Deans, and Clinical Coordinators to oversee the operational aspects of clinical education partnerships. Key Responsibilities: 1. Capacity Management Determine and record the exact number of clinical slots assigned to each program at every affiliated site per institutional contracts. Contact each clinical site to confirm the number of available and active slots. Identify opportunities to expand clinical capacity and reach out to sites interested in greater collaboration. Monitor and confirm the use of clinical capacity to make sure student placement requirements are completely fulfilled. 2. Onboarding Coordination Identify and keep current onboarding requirements for every program and site. Develop, manage, and distribute an Onboarding Status Report that tracks essential milestones, ensuring the timely initiation of all clinical placements. Collaborate with Program Clinical Coordinators to ensure all students fulfill pre-placement onboarding requirements, including health, safety, and compliance documentation. Streamline the transfer of onboarding information between the Swedish Institute and clinical partners. 3. Contract Support Use the Clinical Site Tracking Form to collect and organize essential information for preparing site contracts and addenda. Work with the Clinical Site Director to draft and review contracts before giving final approval. Keep precise records of all master agreements and program-specific addenda for each site. Support the continued development of master agreements to enhance the Institutes contracting process. Collaboration and Institutional Coordination Collaborate with Program Deans to ensure clinical placements meet program learning outcomes and accreditation standards. Collaborate with Clinical Coordinators to verify student preparedness and compliance before placement. Coordinate communication between academic leadership and clinical site representatives to address operational or scheduling challenges. Requirements: Required: Bachelors degree in Health Sciences, Healthcare Administration, or a related field. At least 3 years of experience in academic clinical coordination, site management, or healthcare education operations. Excellent organizational and communication skills with strong attention to detail. Proficiency in Excel or comparable data management systems. Proven ability to handle multiple stakeholders and deadlines effectively. Preferred: Masters degree in Education, Healthcare Administration, or a related field. Previous experience in healthcare or nursing education. Knowledge of accreditation standards (e.g., ACCSC, CAAHEP). Compensation details: 0 Yearly Salary PI066c4f8a2-
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
11/25/2025
Full time
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
Applied Researcher II (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Applied Researcher II (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Director, Software Engineering As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You bring solid experience in databases, API development, and cloud computing. You are proficient in one or more programming languages such as Go, Java, Python, Rust or Typescript, and demonstrate strong collaboration skills to partner effectively with cross-functional stakeholders and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work to ensure solutions are properly engineered and maintained to support customer needs. Mentor and guide the professional and technical development of engineers on your team. Spearhead workstream execution, ensuring robust process and project delivery management. Work with product managers to understand desired application capabilities and testing scenarios Continuously improve software engineering practices Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies Lead the craftsmanship, availability, resilience, and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity Work across to improve the velocity of your and other teams Lead efforts to deploy new and existing applications into AWS environments Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications : Bachelor's Degree At least 7 years' experience in software development At least 5 years' experience in people management Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks (OpenAI family, open source LLMs, Retrieval Augmented Generation (RAG 5+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Director, Software Engineering New York, NY: $287,800 - $328,500 for Director, Software Engineering Richmond, VA: $239,900 - $273,800 for Director, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Director, Software Engineering As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You bring solid experience in databases, API development, and cloud computing. You are proficient in one or more programming languages such as Go, Java, Python, Rust or Typescript, and demonstrate strong collaboration skills to partner effectively with cross-functional stakeholders and product managers. You will: Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. Provide guidance and perform software development work to ensure solutions are properly engineered and maintained to support customer needs. Mentor and guide the professional and technical development of engineers on your team. Spearhead workstream execution, ensuring robust process and project delivery management. Work with product managers to understand desired application capabilities and testing scenarios Continuously improve software engineering practices Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies Lead the craftsmanship, availability, resilience, and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity Work across to improve the velocity of your and other teams Lead efforts to deploy new and existing applications into AWS environments Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications : Bachelor's Degree At least 7 years' experience in software development At least 5 years' experience in people management Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience in software development 7+ years of experience in directly managing engineering teams 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data 2+ years of experience in developing Generative AI models and frameworks (OpenAI family, open source LLMs, Retrieval Augmented Generation (RAG 5+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Director, Software Engineering New York, NY: $287,800 - $328,500 for Director, Software Engineering Richmond, VA: $239,900 - $273,800 for Director, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Distinguished Engineer - Commercial Card As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with the Commercial Card team to help drive the vision and technical direction for our products, playing a crucial role in leading tech initiatives and delivering complex solutions, ranging from evaluating platform choices for building new products as well as embarking on technological transformation of existing products. The role will also play a key role in collaborating with distinguished engineers across the Business Card & Payments group to define technical strategies that align to the business objectives. Mentoring engineers within the commercial card organization and elevating engineering excellence will be a key objective of this role. Hands-on experience is a big plus. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Hands-on experience to lead teams on POCs and closer to the execution on critical technical problems Mentor engineers to elevate engineering excellence in the organization Basic Qualifications Bachelor's Degree At least 7 years of experience in software engineering and solution architecture At least 7 years of experience in enterprise architecture and design patterns At least 4 years of experience with public cloud technologies (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Masters Degree 10+ years of experience in software engineering and solution architecture 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript, TypeScript, Swift 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Distinguished Engineer - Commercial Card As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with the Commercial Card team to help drive the vision and technical direction for our products, playing a crucial role in leading tech initiatives and delivering complex solutions, ranging from evaluating platform choices for building new products as well as embarking on technological transformation of existing products. The role will also play a key role in collaborating with distinguished engineers across the Business Card & Payments group to define technical strategies that align to the business objectives. Mentoring engineers within the commercial card organization and elevating engineering excellence will be a key objective of this role. Hands-on experience is a big plus. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Hands-on experience to lead teams on POCs and closer to the execution on critical technical problems Mentor engineers to elevate engineering excellence in the organization Basic Qualifications Bachelor's Degree At least 7 years of experience in software engineering and solution architecture At least 7 years of experience in enterprise architecture and design patterns At least 4 years of experience with public cloud technologies (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Masters Degree 10+ years of experience in software engineering and solution architecture 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript, TypeScript, Swift 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Director, AI Engineering ( Remote-Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing or leading AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5 years of experience managing and leading an engineering team 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Master's degree in Computer Science, Computer Engineering, or relevant technical field Passion for staying up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One is open to hiring a Remote Employee for this opportunity. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Director, AI Engineering New York, NY: $287,800 - $328,500 for Director, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Director, AI Engineering ( Remote-Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing or leading AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5 years of experience managing and leading an engineering team 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Master's degree in Computer Science, Computer Engineering, or relevant technical field Passion for staying up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One is open to hiring a Remote Employee for this opportunity. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Director, AI Engineering New York, NY: $287,800 - $328,500 for Director, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Data Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. As a Senior Manager, Data Engineer in our Growth & Personalization organization you will have the opportunity to support Capital One Travel in delivering on our vision to provide personalized, delightful experiences to our customers at the top of the market. If you are a passionate, creative technologist, who is driven by the opportunity to continuously improve the lives of your users, this will be the perfect role for you! What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices 6+ years of people management experience Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $245,900 - $280,600 for Sr. Mgr, Data Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Senior Manager, Data Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. As a Senior Manager, Data Engineer in our Growth & Personalization organization you will have the opportunity to support Capital One Travel in delivering on our vision to provide personalized, delightful experiences to our customers at the top of the market. If you are a passionate, creative technologist, who is driven by the opportunity to continuously improve the lives of your users, this will be the perfect role for you! What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 4 years of people management experience Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices 6+ years of people management experience Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $245,900 - $280,600 for Sr. Mgr, Data Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Director, AI Engineering ( Remote-Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing or leading AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5 years of experience managing and leading an engineering team 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Master's degree in Computer Science, Computer Engineering, or relevant technical field Passion for staying up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One is open to hiring a Remote Employee for this opportunity. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Director, AI Engineering New York, NY: $287,800 - $328,500 for Director, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/25/2025
Full time
Director, AI Engineering ( Remote-Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing or leading AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5 years of experience managing and leading an engineering team 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Master's degree in Computer Science, Computer Engineering, or relevant technical field Passion for staying up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One is open to hiring a Remote Employee for this opportunity. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Director, AI Engineering New York, NY: $287,800 - $328,500 for Director, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description: CI/CD Engineer Location: Bethpage, NY (hybrid - 3x a week in office) / Remote may be an option if we cannot find candidates Top Must Have's (7- 9 yrs experience required): Bamboo Jenkins RDK CI/CD CI/CD Engineer Analyst with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in Bamboo, Jenkins, CI/CD, and Cable Modems (DOCSIS/RDK This hybrid role requires a proactive individual who can manage geospatial projects efficiently, ensuring seamless integration and deployment processes. The position offers a day shift with no travel requirements. 3. Experience : 8 - 12 years 4. Required Skills : Technical Skills: Bamboo,Jenkins,CI/ CD,Cable Modems (DOCSIS/ RDK) Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : - Lead the planning and execution of geospatial projects, ensuring timely delivery and quality outcomes. - Integrate and deploy processes using Bamboo and Jenkins to maintain continuous integration and continuous delivery (CI/CD) pipelines. - Provide technical expertise in Cable Modems (DOCSIS/RDK) to support project requirements and troubleshoot issues. - Collaborate with cross-functional teams to define project scope, objectives, and deliverables. - Ensure the accuracy and integrity of geospatial data through rigorous quality control measures. - Develop and maintain project documentation, including technical specifications and user guides. - Provide regular updates to stakeholders - Integrate security controls into the CI/CD pipeline - Create and maintain automated workflows. -Improve efficiency. - Foster a collaborative and inclusive work environment that encourages innovation and continuous improvement. -Streamline deployment processes. -Qualifications - Possess a strong background in Bamboo and Jenkins for CI/CD pipeline management. - Demonstrate expertise in Cable Modems (DOCSIS/RDK) and related technologies. -Exhibit excellent Automation, version control systems, and scripting languages skills. - A strong software development background. - Exhibit strong analytical and problem-solving abilities. - Show proficiency in geospatial data management and analysis. - Have excellent communication and interpersonal skills. - Be able to work effectively in a hybrid work model. - Display a commitment to continuous learning and professional development. - Hold a relevant degree in Computer Science, or a related field. - Have experience with agile methodologies - Be detail-oriented with a focus on delivering high-quality work. - Demonstrate the ability to work independently and as part of a team. 9. Job Location : Primary Location :USNYBEPC01(ITUSA,Bethpage - NY USA, CLT/RMT) Alternate Location :NA,NA Alternate Location 1 :NA,NA 10. Job Type : Business Associate 50CW. Demand Requires Travel? : No 12. Certifications Required : NA Years of Experience: 13.00 Years of Experience
11/25/2025
Job Description: CI/CD Engineer Location: Bethpage, NY (hybrid - 3x a week in office) / Remote may be an option if we cannot find candidates Top Must Have's (7- 9 yrs experience required): Bamboo Jenkins RDK CI/CD CI/CD Engineer Analyst with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in Bamboo, Jenkins, CI/CD, and Cable Modems (DOCSIS/RDK This hybrid role requires a proactive individual who can manage geospatial projects efficiently, ensuring seamless integration and deployment processes. The position offers a day shift with no travel requirements. 3. Experience : 8 - 12 years 4. Required Skills : Technical Skills: Bamboo,Jenkins,CI/ CD,Cable Modems (DOCSIS/ RDK) Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : - Lead the planning and execution of geospatial projects, ensuring timely delivery and quality outcomes. - Integrate and deploy processes using Bamboo and Jenkins to maintain continuous integration and continuous delivery (CI/CD) pipelines. - Provide technical expertise in Cable Modems (DOCSIS/RDK) to support project requirements and troubleshoot issues. - Collaborate with cross-functional teams to define project scope, objectives, and deliverables. - Ensure the accuracy and integrity of geospatial data through rigorous quality control measures. - Develop and maintain project documentation, including technical specifications and user guides. - Provide regular updates to stakeholders - Integrate security controls into the CI/CD pipeline - Create and maintain automated workflows. -Improve efficiency. - Foster a collaborative and inclusive work environment that encourages innovation and continuous improvement. -Streamline deployment processes. -Qualifications - Possess a strong background in Bamboo and Jenkins for CI/CD pipeline management. - Demonstrate expertise in Cable Modems (DOCSIS/RDK) and related technologies. -Exhibit excellent Automation, version control systems, and scripting languages skills. - A strong software development background. - Exhibit strong analytical and problem-solving abilities. - Show proficiency in geospatial data management and analysis. - Have excellent communication and interpersonal skills. - Be able to work effectively in a hybrid work model. - Display a commitment to continuous learning and professional development. - Hold a relevant degree in Computer Science, or a related field. - Have experience with agile methodologies - Be detail-oriented with a focus on delivering high-quality work. - Demonstrate the ability to work independently and as part of a team. 9. Job Location : Primary Location :USNYBEPC01(ITUSA,Bethpage - NY USA, CLT/RMT) Alternate Location :NA,NA Alternate Location 1 :NA,NA 10. Job Type : Business Associate 50CW. Demand Requires Travel? : No 12. Certifications Required : NA Years of Experience: 13.00 Years of Experience
Applied Researcher I (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/24/2025
Full time
Applied Researcher I (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries . click apply for full job details
11/24/2025
Full time
Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries . click apply for full job details
Were looking for an End-User Computing Engineer to join our global Information Technology team. In this position, youll play a key role in maintaining secure, reliable, and high-performing technology operations across all business units. Youll provide direct support to traders, executives, and research professionals in a dynamic, high-stakes environmentresolving issues proactively and managing IT systems that drive productivity at scale. The ideal candidate combines deep technical expertise with exceptional communication and problem-solving abilities. You consistently deliver top-tier service while identifying opportunities to enhance systems and workflows. This role is perfect for an engineer who thrives on tackling complex challenges, values precision and speed, and is eager to make a meaningful impact in a fast-paced, mission-critical setting Key Responsibilities Deliver high-quality technical support across Windows, macOS, and iOS platforms Troubleshoot and resolve hardware, software, network, and market data issues promptly Manage user onboarding/offboarding, permissions, and account administration Support audio/visual systems and conferencing technologies (Zoom, Teams, Cisco) Assist with mobile device configuration and management via Intune or similar platforms Maintain and support virtual desktop infrastructure (VDI) for secure remote access Utilize IT Service Management (ITSM) tools to log, track, and resolve support requests Document solutions and maintain knowledge bases for recurring issues and procedures Identify opportunities for automation and workflow improvements Provide after-hours and weekend on-call support as part of a rotation Qualifications Minimum 2 years of IT support experience, preferably in financial services Bachelors degree in Computer Science, Information Technology, or related field Strong troubleshooting, communication, and prioritization skills Experience supporting enterprise desktop environments (Windows 11, Office 365) Familiarity with identity and access management, user administration, and security groups Knowledge of endpoint management, software deployment, and packaging Understanding of networking fundamentals (LAN/WAN, VPN, DNS, DHCP) Experience with cloud collaboration platforms (Microsoft 365, SharePoint, OneDrive) Working knowledge of AV setups and remote conferencing tools (e.g., Zoom) Ability to work independently, manage multiple priorities, and maintain attention to detail Comfortable providing high-touch support to traders, executives, and analysts
11/24/2025
Were looking for an End-User Computing Engineer to join our global Information Technology team. In this position, youll play a key role in maintaining secure, reliable, and high-performing technology operations across all business units. Youll provide direct support to traders, executives, and research professionals in a dynamic, high-stakes environmentresolving issues proactively and managing IT systems that drive productivity at scale. The ideal candidate combines deep technical expertise with exceptional communication and problem-solving abilities. You consistently deliver top-tier service while identifying opportunities to enhance systems and workflows. This role is perfect for an engineer who thrives on tackling complex challenges, values precision and speed, and is eager to make a meaningful impact in a fast-paced, mission-critical setting Key Responsibilities Deliver high-quality technical support across Windows, macOS, and iOS platforms Troubleshoot and resolve hardware, software, network, and market data issues promptly Manage user onboarding/offboarding, permissions, and account administration Support audio/visual systems and conferencing technologies (Zoom, Teams, Cisco) Assist with mobile device configuration and management via Intune or similar platforms Maintain and support virtual desktop infrastructure (VDI) for secure remote access Utilize IT Service Management (ITSM) tools to log, track, and resolve support requests Document solutions and maintain knowledge bases for recurring issues and procedures Identify opportunities for automation and workflow improvements Provide after-hours and weekend on-call support as part of a rotation Qualifications Minimum 2 years of IT support experience, preferably in financial services Bachelors degree in Computer Science, Information Technology, or related field Strong troubleshooting, communication, and prioritization skills Experience supporting enterprise desktop environments (Windows 11, Office 365) Familiarity with identity and access management, user administration, and security groups Knowledge of endpoint management, software deployment, and packaging Understanding of networking fundamentals (LAN/WAN, VPN, DNS, DHCP) Experience with cloud collaboration platforms (Microsoft 365, SharePoint, OneDrive) Working knowledge of AV setups and remote conferencing tools (e.g., Zoom) Ability to work independently, manage multiple priorities, and maintain attention to detail Comfortable providing high-touch support to traders, executives, and analysts
Symantec Engineer Optimize IT Operations: Advise and contribute to technical projects Participate in the planning and execution of any upgrades, deployments, patches or disaster recovery testing of their Solutions Perform configuration and environment reviews Assist with production planning to minimize risk to the operating environment and Symantec Solutions Assist with planning, support and evaluations for new features and functionalities within the Symantec Solutions Provide technical detail and actively participate in the account-planning process and in quarterly business reviews to assess program's status and strategic direction relative to the Customer's business objectives Stabilize IT Infrastructure: Diagnose technical issues encountered with the Symantec Solutions Monitor and manage escalated Technical Support issues and serve as the single technical point of contact for such escalations Assist in monitoring and responding to non-routine activities including, but not limited to, security breaches and attacks Assist in the identification and implementation of best practice processes and procedures for installation, configuration and utilization of the Symantec Solutions in a supported environment Provide informal knowledge transfer to Customer staff members who cover the management and maintenance of the Symantec Solutions Expedited Response: Provide proactive and reactive advice on issues regarding upgrades, patches and updates of the Symantec Solutions Provide response or clarification for any relevant Symantec Solution-related questions in the course of daily operations Coordinate with Symantec technical support to resolve product issue escalations to assist in faster resolution and reduce unplanned downtime Assist in troubleshooting and providing technical details for probable cause analysis of break/fix issues encountered by the Symantec Solutions
11/24/2025
Symantec Engineer Optimize IT Operations: Advise and contribute to technical projects Participate in the planning and execution of any upgrades, deployments, patches or disaster recovery testing of their Solutions Perform configuration and environment reviews Assist with production planning to minimize risk to the operating environment and Symantec Solutions Assist with planning, support and evaluations for new features and functionalities within the Symantec Solutions Provide technical detail and actively participate in the account-planning process and in quarterly business reviews to assess program's status and strategic direction relative to the Customer's business objectives Stabilize IT Infrastructure: Diagnose technical issues encountered with the Symantec Solutions Monitor and manage escalated Technical Support issues and serve as the single technical point of contact for such escalations Assist in monitoring and responding to non-routine activities including, but not limited to, security breaches and attacks Assist in the identification and implementation of best practice processes and procedures for installation, configuration and utilization of the Symantec Solutions in a supported environment Provide informal knowledge transfer to Customer staff members who cover the management and maintenance of the Symantec Solutions Expedited Response: Provide proactive and reactive advice on issues regarding upgrades, patches and updates of the Symantec Solutions Provide response or clarification for any relevant Symantec Solution-related questions in the course of daily operations Coordinate with Symantec technical support to resolve product issue escalations to assist in faster resolution and reduce unplanned downtime Assist in troubleshooting and providing technical details for probable cause analysis of break/fix issues encountered by the Symantec Solutions
Voice Up Publishing Incorporated
New York, New York
Wellness & Faith-Based Life Coach Internship Remote Position Schedule, Duration, Position Type -Contract, Part-Time, Internship -Compensation: Academic Credit or Volunteer (Unpaid) - Flexible hours to accommodate academic schedules - Minimum commitment: 3 months - Start date: Flexible Position Overview Join Voice Up Publishing as a Wellness & Life Coach Intern, focusing on supporting college students and adults through anxiety and life challenges by connecting them to faith-based principles and small group support. This role combines individual coaching with group facilitation, helping people discover Biblical wisdom and life lessons centered on collaboration, humility, precision, patience, and empathy. Key Responsibilities - Provide one-on-one coaching support for individuals facing anxiety - Facilitate small group coaching sessions - Connect life challenges to Biblical principles - Create affordable group coaching programs - Develop faith-based wellness resources - Participate in weekly Saturday afternoon collaborative sessions with our nationwide team of student leaders - Document coaching success stories - Build supportive community networks Required Qualifications - Current enrollment in an accredited college or university - Strong understanding of Biblical principles - Experience with peer counseling or mentoring - Excellence in group facilitation - Understanding of anxiety and wellness - Strong listening and communication skills - Cultural sensitivity and empathy - Commitment to faith-based support Position Details - 100% remote position with flexible scheduling - Part-time commitment (hours adjustable to academic schedule) - Unpaid position eligible for academic credit (subject to university approval) - Duration: One academic semester Focus Areas Core Values Integration - Collaboration: Building community support - Humility: Learning from scripture and others - Precision: Applying Biblical principles - Patience: Trusting God's timing - Empathy: Understanding others' journeys Wellness Support - Anxiety management - Stress reduction - Faith connection - Life balance - Personal growth - Community building - Biblical wisdom - Prayer support What You'll Gain - Life coaching experience - Group facilitation skills - Faith-based counseling expertise - Program development abilities - Community building experience - Letter of support from Voice Up's founder upon successful completion - Portfolio of coaching resources - Professional network development Program Components - Individual coaching sessions - Small group facilitation - Biblical study integration - Wellness resources - Prayer support - Community building - Progress tracking - Success stories Core Competency Development Coaching Skills - Active listening - Question framing - Goal setting - Progress monitoring - Biblical integration - Group dynamics - Conflict resolution - Support facilitation Faith Integration - Scripture application - Prayer guidance - Biblical principles - Community building - Value alignment - Spiritual growth - Testimonial sharing - Faith connection Voice Up Publishing Inc. believes in supporting individual growth through faith-based principles and community connection. Key Objectives - Support individual wellness - Build faith communities - Create affordable programs - Foster spiritual growth - Document transformation - Share testimonials - Measure impact - Strengthen faith Ideal candidates will demonstrate: - Strong faith foundation - Coaching ability - Group facilitation - Emotional intelligence - Biblical knowledge - Communication excellence - Community building - Empathetic approach Special consideration given to candidates with: - Life coach certification - Ministry experience - Counseling background - Group facilitation - Biblical studies - Mental health awareness - Community leadership - Pastoral care This role offers the opportunity to help others connect their faith journey with personal wellness while building supportive communities. The ideal candidate will combine coaching skills with strong Biblical understanding and empathetic support. Program Structure - Individual Sessions: One-on-one support - Group Sessions: 6-8 participants - Biblical Integration: Scripture-based lessons - Community Building: Peer support networks - Prayer Support: Spiritual connection - Progress Tracking: Growth measurement - Testimonial Sharing: Success stories - Resource Development: Faith-based tools Voice Up Publishing Inc. is committed to making faith-based coaching accessible while building supportive communities. We welcome applications from students who are passionate about connecting faith with personal wellness. Note: Strong Biblical knowledge and understanding of mental health principles is essential. Experience with group facilitation and pastoral care is highly valued. Success Metrics - Individual growth - Group engagement - Faith connection - Anxiety reduction - Community building - Biblical application - Testimonial impact - Program accessibility This position requires both strong faith foundation and ability to create safe, supportive spaces for personal growth and community building. Program Pricing Structure - Affordable group rates - Sliding scale options - Scholarship opportunities - Ministry partnerships - Community sponsorships - Student discounts - Payment plans - Group discounts Our focus is on making faith-based coaching accessible to all who seek support while building sustainable community connections. About Voice Up Voice Up is a dynamic movement that has rapidly mobilized student leaders across more than 100 college campuses worldwide Voice Up has also partnered with Operation Hope currently training thousands of small business owners throughout the U.S. each month. Our vision is to connect people to their purpose. Our mission is to transform how families support a healthier way for a better life. We empower people to create meaningful change in their local communities. The Voice Up Credential is the Standard for Connecting You to Your Purpose. Program Overview The Voice Up Credential represents an innovative approach to professional and personal development, combining practical experience with structured learning and direct engagement with community and business leaders. This year-long program integrates a 100% remote, 100% flexible hands-on internship experience with comprehensive coursework and real-world perspectives connected to your purpose.
11/24/2025
Wellness & Faith-Based Life Coach Internship Remote Position Schedule, Duration, Position Type -Contract, Part-Time, Internship -Compensation: Academic Credit or Volunteer (Unpaid) - Flexible hours to accommodate academic schedules - Minimum commitment: 3 months - Start date: Flexible Position Overview Join Voice Up Publishing as a Wellness & Life Coach Intern, focusing on supporting college students and adults through anxiety and life challenges by connecting them to faith-based principles and small group support. This role combines individual coaching with group facilitation, helping people discover Biblical wisdom and life lessons centered on collaboration, humility, precision, patience, and empathy. Key Responsibilities - Provide one-on-one coaching support for individuals facing anxiety - Facilitate small group coaching sessions - Connect life challenges to Biblical principles - Create affordable group coaching programs - Develop faith-based wellness resources - Participate in weekly Saturday afternoon collaborative sessions with our nationwide team of student leaders - Document coaching success stories - Build supportive community networks Required Qualifications - Current enrollment in an accredited college or university - Strong understanding of Biblical principles - Experience with peer counseling or mentoring - Excellence in group facilitation - Understanding of anxiety and wellness - Strong listening and communication skills - Cultural sensitivity and empathy - Commitment to faith-based support Position Details - 100% remote position with flexible scheduling - Part-time commitment (hours adjustable to academic schedule) - Unpaid position eligible for academic credit (subject to university approval) - Duration: One academic semester Focus Areas Core Values Integration - Collaboration: Building community support - Humility: Learning from scripture and others - Precision: Applying Biblical principles - Patience: Trusting God's timing - Empathy: Understanding others' journeys Wellness Support - Anxiety management - Stress reduction - Faith connection - Life balance - Personal growth - Community building - Biblical wisdom - Prayer support What You'll Gain - Life coaching experience - Group facilitation skills - Faith-based counseling expertise - Program development abilities - Community building experience - Letter of support from Voice Up's founder upon successful completion - Portfolio of coaching resources - Professional network development Program Components - Individual coaching sessions - Small group facilitation - Biblical study integration - Wellness resources - Prayer support - Community building - Progress tracking - Success stories Core Competency Development Coaching Skills - Active listening - Question framing - Goal setting - Progress monitoring - Biblical integration - Group dynamics - Conflict resolution - Support facilitation Faith Integration - Scripture application - Prayer guidance - Biblical principles - Community building - Value alignment - Spiritual growth - Testimonial sharing - Faith connection Voice Up Publishing Inc. believes in supporting individual growth through faith-based principles and community connection. Key Objectives - Support individual wellness - Build faith communities - Create affordable programs - Foster spiritual growth - Document transformation - Share testimonials - Measure impact - Strengthen faith Ideal candidates will demonstrate: - Strong faith foundation - Coaching ability - Group facilitation - Emotional intelligence - Biblical knowledge - Communication excellence - Community building - Empathetic approach Special consideration given to candidates with: - Life coach certification - Ministry experience - Counseling background - Group facilitation - Biblical studies - Mental health awareness - Community leadership - Pastoral care This role offers the opportunity to help others connect their faith journey with personal wellness while building supportive communities. The ideal candidate will combine coaching skills with strong Biblical understanding and empathetic support. Program Structure - Individual Sessions: One-on-one support - Group Sessions: 6-8 participants - Biblical Integration: Scripture-based lessons - Community Building: Peer support networks - Prayer Support: Spiritual connection - Progress Tracking: Growth measurement - Testimonial Sharing: Success stories - Resource Development: Faith-based tools Voice Up Publishing Inc. is committed to making faith-based coaching accessible while building supportive communities. We welcome applications from students who are passionate about connecting faith with personal wellness. Note: Strong Biblical knowledge and understanding of mental health principles is essential. Experience with group facilitation and pastoral care is highly valued. Success Metrics - Individual growth - Group engagement - Faith connection - Anxiety reduction - Community building - Biblical application - Testimonial impact - Program accessibility This position requires both strong faith foundation and ability to create safe, supportive spaces for personal growth and community building. Program Pricing Structure - Affordable group rates - Sliding scale options - Scholarship opportunities - Ministry partnerships - Community sponsorships - Student discounts - Payment plans - Group discounts Our focus is on making faith-based coaching accessible to all who seek support while building sustainable community connections. About Voice Up Voice Up is a dynamic movement that has rapidly mobilized student leaders across more than 100 college campuses worldwide Voice Up has also partnered with Operation Hope currently training thousands of small business owners throughout the U.S. each month. Our vision is to connect people to their purpose. Our mission is to transform how families support a healthier way for a better life. We empower people to create meaningful change in their local communities. The Voice Up Credential is the Standard for Connecting You to Your Purpose. Program Overview The Voice Up Credential represents an innovative approach to professional and personal development, combining practical experience with structured learning and direct engagement with community and business leaders. This year-long program integrates a 100% remote, 100% flexible hands-on internship experience with comprehensive coursework and real-world perspectives connected to your purpose.
Navigating a submarine across the dark ocean floor isn't an easy task. It requires pinpoint accuracy and the careful coordination of multiple systems. As an Electronics Technician Navigation, that's where your expertise comes in. From tracking a submarine's underwater inertia to detecting obstacles by radar, you'll operate and maintain the systems that get your sub to its destination. Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Electronics Technician Navigation/Communication More Information Responsibilities Electronics Technicians Navigation (ETV) are responsible for maintaining all electronic equipment used in navigating and piloting submarines. As an ETV, your responsibilities may include: Maintaining, repairing, calibrating, tuning and adjusting navigation equipment Operating, monitoring and maintaining radar, gyrocompass, inertial navigation and global positioning systems Maintaining equipment used to detect, identify and track other maritime vessels Maintain accurate navigation data, and develop and execute navigation plans Conducting preventive maintenance on interior communications circuitry Operating atmosphere monitoring equipment and ship control subsystems Using and maintaining hand tools and portable power tools Perform watch and lookout duties Work Environment As an ETV, you'll work primarily aboard submarines in a clean, controlled environment. You may also work indoors in a clean lab or shop environment while on shore. Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes (known as Boot Camp), you'll report for specialized training, including: Basic Enlisted Submarine School (8 weeks) in Groton, CT, for training in basic submarine systems Class "A" Technical School and Specialty Pipeline School (14-28 weeks) in Groton, CT, for instruction in basic electricity, electronics and computer technical knowledge and skills, and training in communications aboard fast attack or ballistic missile submarines Advanced Training Advanced training as an ETV, including "C" School instruction on advanced equipment maintenance, may also be available during later stages of your career. For those with further leadership aspirations and a college degree, Officer roles may be available, providing opportunities to lead and train others. Post-Service Opportunities Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian world, such as electrical engineering and telecommunications. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training as an Electronics Technician Navigation can translate to credit hours toward a bachelor's or associate degree through the American Council on Education. You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and an Electronics Technician Navigation. You must also be a U.S. citizen eligible for security clearance. ETVs should have strong arithmetic, writing and speaking skills, as well as the ability to use computers. You should also be able to perform detailed work, keep accurate records, and function well as part of a team. Important physical attributes include good manual dexterity and physical strength. To serve as an ETV, you must be willing to serve aboard submarines. General qualifications may vary depending upon whether you're currently serving , whether you've served before or whether you've never served before . Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy. Compare Navy Careers See how a career as an Electronics Technician Navigation compares to other Navy jobs. Compare roles, pay and requirements for each job now.
11/23/2025
Full time
Navigating a submarine across the dark ocean floor isn't an easy task. It requires pinpoint accuracy and the careful coordination of multiple systems. As an Electronics Technician Navigation, that's where your expertise comes in. From tracking a submarine's underwater inertia to detecting obstacles by radar, you'll operate and maintain the systems that get your sub to its destination. Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Electronics Technician Navigation/Communication More Information Responsibilities Electronics Technicians Navigation (ETV) are responsible for maintaining all electronic equipment used in navigating and piloting submarines. As an ETV, your responsibilities may include: Maintaining, repairing, calibrating, tuning and adjusting navigation equipment Operating, monitoring and maintaining radar, gyrocompass, inertial navigation and global positioning systems Maintaining equipment used to detect, identify and track other maritime vessels Maintain accurate navigation data, and develop and execute navigation plans Conducting preventive maintenance on interior communications circuitry Operating atmosphere monitoring equipment and ship control subsystems Using and maintaining hand tools and portable power tools Perform watch and lookout duties Work Environment As an ETV, you'll work primarily aboard submarines in a clean, controlled environment. You may also work indoors in a clean lab or shop environment while on shore. Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes (known as Boot Camp), you'll report for specialized training, including: Basic Enlisted Submarine School (8 weeks) in Groton, CT, for training in basic submarine systems Class "A" Technical School and Specialty Pipeline School (14-28 weeks) in Groton, CT, for instruction in basic electricity, electronics and computer technical knowledge and skills, and training in communications aboard fast attack or ballistic missile submarines Advanced Training Advanced training as an ETV, including "C" School instruction on advanced equipment maintenance, may also be available during later stages of your career. For those with further leadership aspirations and a college degree, Officer roles may be available, providing opportunities to lead and train others. Post-Service Opportunities Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian world, such as electrical engineering and telecommunications. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training as an Electronics Technician Navigation can translate to credit hours toward a bachelor's or associate degree through the American Council on Education. You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and an Electronics Technician Navigation. You must also be a U.S. citizen eligible for security clearance. ETVs should have strong arithmetic, writing and speaking skills, as well as the ability to use computers. You should also be able to perform detailed work, keep accurate records, and function well as part of a team. Important physical attributes include good manual dexterity and physical strength. To serve as an ETV, you must be willing to serve aboard submarines. General qualifications may vary depending upon whether you're currently serving , whether you've served before or whether you've never served before . Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy. Compare Navy Careers See how a career as an Electronics Technician Navigation compares to other Navy jobs. Compare roles, pay and requirements for each job now.
Vice President/Infrastructure Engineering Lead US-NY-New York Job ID: Type: Regular Full-Time # of Openings: 1 Category: Civil/Structural Engineering The LiRo Group Overview W e have an immediate need for a Vice President/Infrastructure Engineering Lead for our New York City Office which is located in downtown Manhattan or, our Mineola, Long Island Office. Come join our team! We are looking to build services and capabilities through the growth of our key asset - our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an "Integrated Construction, Design and Technology Solutions" firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities Lead in the growth and coordination of LiRo-Hill's Transportation Engineering practice encompassing bridge, highway, rail, and traffic engineering services within the greater NY metropolitan area Oversee the performance of a wide range of civil/structural engineering, analysis, planning, and design tasks related to capital improvement projects related to transportation systems and horizontal structures Supervise the performance of condition assessments, load ratings, design plans, and specifications for the repair and/or reconstruction of horizontal structures and related facilities including but not limited to: bridges, culverts, transit stations, piers, waterfront structures, etc. Utilize a broad assortment of technical and project management skills in the execution and oversight of projects that range from small rehabilitations to large scale new construction Mentor, train, and develop local engineering and CAD/BIM staff. Lead the preparation of technical and cost proposals in the pursuit of new work Attend local industry and business development functions Coordinate staffing needs, project financial performance, and performance reviews for the local staff Perform financial projections/updates on a monthly and quarterly basis based on company reporting standards Aid in the coordination and development and periodic update of the transportation engineering practice's design and drafting standards Develop and maintain positive relationships with the local transportation agencies, authorities, and city/state level clients Qualifications Bachelor of Science in Civil/Structural Engineering; Master's Degree a plus 15+ years' experience in Civil/Structural Engineering NY PE required Strong leadership qualities and mentor-ship skills Ability to supervise, delegate tasks, and provide guidance to technical staff Understanding and application of code requirements Experience in using various structural analysis software Strong written, verbal, and presentation skills Ability to multitask and consistently meet deadlines We are committed to your success, and we invest in your growth and development to unlock your full potential. Competitive Total Compensation Package Employee- Only Stock Purchase Plan Mentoring programs Continuing Education Program Employee referral bonus Volunteer/Industry association opportunities Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. We offer a comprehensive benefits package and a positive work environment Compensation: Minimum: $195,000; Maximum: $250,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined based on the individual candidate's qualifications and location. The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. PIef106a4a8cb1-6372
11/23/2025
Full time
Vice President/Infrastructure Engineering Lead US-NY-New York Job ID: Type: Regular Full-Time # of Openings: 1 Category: Civil/Structural Engineering The LiRo Group Overview W e have an immediate need for a Vice President/Infrastructure Engineering Lead for our New York City Office which is located in downtown Manhattan or, our Mineola, Long Island Office. Come join our team! We are looking to build services and capabilities through the growth of our key asset - our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an "Integrated Construction, Design and Technology Solutions" firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities Lead in the growth and coordination of LiRo-Hill's Transportation Engineering practice encompassing bridge, highway, rail, and traffic engineering services within the greater NY metropolitan area Oversee the performance of a wide range of civil/structural engineering, analysis, planning, and design tasks related to capital improvement projects related to transportation systems and horizontal structures Supervise the performance of condition assessments, load ratings, design plans, and specifications for the repair and/or reconstruction of horizontal structures and related facilities including but not limited to: bridges, culverts, transit stations, piers, waterfront structures, etc. Utilize a broad assortment of technical and project management skills in the execution and oversight of projects that range from small rehabilitations to large scale new construction Mentor, train, and develop local engineering and CAD/BIM staff. Lead the preparation of technical and cost proposals in the pursuit of new work Attend local industry and business development functions Coordinate staffing needs, project financial performance, and performance reviews for the local staff Perform financial projections/updates on a monthly and quarterly basis based on company reporting standards Aid in the coordination and development and periodic update of the transportation engineering practice's design and drafting standards Develop and maintain positive relationships with the local transportation agencies, authorities, and city/state level clients Qualifications Bachelor of Science in Civil/Structural Engineering; Master's Degree a plus 15+ years' experience in Civil/Structural Engineering NY PE required Strong leadership qualities and mentor-ship skills Ability to supervise, delegate tasks, and provide guidance to technical staff Understanding and application of code requirements Experience in using various structural analysis software Strong written, verbal, and presentation skills Ability to multitask and consistently meet deadlines We are committed to your success, and we invest in your growth and development to unlock your full potential. Competitive Total Compensation Package Employee- Only Stock Purchase Plan Mentoring programs Continuing Education Program Employee referral bonus Volunteer/Industry association opportunities Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. We offer a comprehensive benefits package and a positive work environment Compensation: Minimum: $195,000; Maximum: $250,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined based on the individual candidate's qualifications and location. The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. PIef106a4a8cb1-6372
Falcon L3 Support Engineer Houston, TX - hybrid, 3x a week Pre-screen questions required: 1. What type of transactions did they handle through FICO Falcon? 2. Example of some typical rules which were configured on FICO Falcon Must Have's: - FICO Falcon Support experience - Falcon rule configuration - Incident Management experience Job Summary: We are seeking a highly skilled and motivated Falcon L3 Support Engineer to join our technical support team. The ideal candidate should have 8-12 years experience of handling complex incidents, fulfilling service requests, performing root cause analysis, and implementing configuration changes and scripting solutions for the Falcon product. This role requires flexibility to work morning and evening shifts and provide weekend on-call support. Key Responsibilities: - Handle and resolve high-priority incidents related to the Falcon product. - Respond to and fulfil service requests from internal and external stakeholders. - Conduct thorough root cause analysis to identify and resolve recurring issues. - Develop and maintain scripts to automate support tasks and improve efficiency. - Implement configuration changes to optimize product performance and functionality. - Collaborate with cross-functional teams to ensure timely resolution of issues. - Maintain detailed documentation of incidents, service requests, and resolutions. - Participate in shift rotations including morning/regular/evening shifts. - Provide on-call support during weekends as part of a scheduled rotation. Qualifications: - Proven experience in L3 technical support or a similar role. - Strong understanding of incident management and service request processes. - Proficiency in configuring and troubleshooting Falcon configurations/rules. - Experience with configuration management and troubleshooting complex systems. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills. - Ability to work independently and in a team-oriented environment. - Willingness to work flexible hours including weekends. Join our team and contribute to delivering exceptional support and continuous improvement for the Falcon product.
11/23/2025
Falcon L3 Support Engineer Houston, TX - hybrid, 3x a week Pre-screen questions required: 1. What type of transactions did they handle through FICO Falcon? 2. Example of some typical rules which were configured on FICO Falcon Must Have's: - FICO Falcon Support experience - Falcon rule configuration - Incident Management experience Job Summary: We are seeking a highly skilled and motivated Falcon L3 Support Engineer to join our technical support team. The ideal candidate should have 8-12 years experience of handling complex incidents, fulfilling service requests, performing root cause analysis, and implementing configuration changes and scripting solutions for the Falcon product. This role requires flexibility to work morning and evening shifts and provide weekend on-call support. Key Responsibilities: - Handle and resolve high-priority incidents related to the Falcon product. - Respond to and fulfil service requests from internal and external stakeholders. - Conduct thorough root cause analysis to identify and resolve recurring issues. - Develop and maintain scripts to automate support tasks and improve efficiency. - Implement configuration changes to optimize product performance and functionality. - Collaborate with cross-functional teams to ensure timely resolution of issues. - Maintain detailed documentation of incidents, service requests, and resolutions. - Participate in shift rotations including morning/regular/evening shifts. - Provide on-call support during weekends as part of a scheduled rotation. Qualifications: - Proven experience in L3 technical support or a similar role. - Strong understanding of incident management and service request processes. - Proficiency in configuring and troubleshooting Falcon configurations/rules. - Experience with configuration management and troubleshooting complex systems. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills. - Ability to work independently and in a team-oriented environment. - Willingness to work flexible hours including weekends. Join our team and contribute to delivering exceptional support and continuous improvement for the Falcon product.
Job Description - TITLE : Senior UX / UI Engineers LOC : Somers , New York (Onsite) MOI : Video Interview Seeking Engineers to do UI / UX + front-end engineering. The consultants will be responsible for designing and developing intuitive, user-friendly, and visually appealing web applications that meet the business objectives and provide exceptional user experience. Additionally: Design an Advanced Analytic Visualization Systems that will monitor applications behavior in real-time which focuses on user-centered design to deliver insightful, intuitive dashboards and trust scoring models that enhance visibility, trust, and usability across platforms. Bridge the gap between design and technical implementation, working closely with product owners, business analysts, solution architects, and back-end developers. Requirements Skills Must have 10+ years of IT experience working in the US for US companies. US Experience is a must. Must have 8+ years of experience as a UX/UI Engineer. Hands-on experience in designing business web applications. Experience with complex wireframes and mockups. Hands-on experience with A e XD and Figma UX/UI designing and prototyping tools. Experience converting UI/UX designs into front-end components. Experience with HTML, CSS, Tailwind, and SASS. Hands-on experience with React and MUI. Experience with JavaScript and Typescript. Experience with CI/CD pipelines utilizing Azure DevOps, CI/CD pipelines, and Git-based version control. Extensive experience with modern front-end build pipelines and tools, such as Webpack, Babel, and NPM. Excellent communication skills and a collaborative mindset. Extensive experience with Agile and/or Scrum methodologies. A portfolio of past projects demonstrating UI/UX and front-end work is required. Passion for staying up to date with the latest front-end and UX design trends and technologies. Experience with .NET Web APIs is a plus. Experience Required IT Experience: 10+ years UX/UI Engineer: 8+ years Front-end Development (HTML, CSS, Tailwind, SASS, React, MUI): 8+ years JavaScript/Typescript; 6+ years
11/22/2025
Job Description - TITLE : Senior UX / UI Engineers LOC : Somers , New York (Onsite) MOI : Video Interview Seeking Engineers to do UI / UX + front-end engineering. The consultants will be responsible for designing and developing intuitive, user-friendly, and visually appealing web applications that meet the business objectives and provide exceptional user experience. Additionally: Design an Advanced Analytic Visualization Systems that will monitor applications behavior in real-time which focuses on user-centered design to deliver insightful, intuitive dashboards and trust scoring models that enhance visibility, trust, and usability across platforms. Bridge the gap between design and technical implementation, working closely with product owners, business analysts, solution architects, and back-end developers. Requirements Skills Must have 10+ years of IT experience working in the US for US companies. US Experience is a must. Must have 8+ years of experience as a UX/UI Engineer. Hands-on experience in designing business web applications. Experience with complex wireframes and mockups. Hands-on experience with A e XD and Figma UX/UI designing and prototyping tools. Experience converting UI/UX designs into front-end components. Experience with HTML, CSS, Tailwind, and SASS. Hands-on experience with React and MUI. Experience with JavaScript and Typescript. Experience with CI/CD pipelines utilizing Azure DevOps, CI/CD pipelines, and Git-based version control. Extensive experience with modern front-end build pipelines and tools, such as Webpack, Babel, and NPM. Excellent communication skills and a collaborative mindset. Extensive experience with Agile and/or Scrum methodologies. A portfolio of past projects demonstrating UI/UX and front-end work is required. Passion for staying up to date with the latest front-end and UX design trends and technologies. Experience with .NET Web APIs is a plus. Experience Required IT Experience: 10+ years UX/UI Engineer: 8+ years Front-end Development (HTML, CSS, Tailwind, SASS, React, MUI): 8+ years JavaScript/Typescript; 6+ years
CONSTRUCTION ASSOCIATE ATTORNEY (JUNIORMID LEVEL) TRANSACTIONAL FOCUS Locations: Philadelphia, PA New York, NY HYBRID Our client, a prominent AmLaw 100 international law firm , is seeking a motivated Construction Associate Attorney to join its expanding Construction Practice Group in Philadelphia or New York (link removed) This is an exceptional opportunity to advise on sophisticated development projects and collaborate with a nationally recognized team handling high-profile, complex construction matters. Candidate Profile JD from a top-tier law school with an excellent academic record Active Bar Admission in the relevant jurisdiction , in good standing 24 years of substantive experience drafting and negotiating design and construction agreements Degree in Engineering , architecture , or construction management strongly preferred Experience representing owners and contractors on complex development projects Knowledge of insurance , bonding , lien law , and risk mitigation issues Exposure to or interest in construction litigation This role is primarily transactional , but may include litigation work Strong drafting, analytical, and negotiation skills Demonstrated ability to manage competing priorities and deliver high-quality work in a fast-paced environment Key Responsibilities Draft and negotiate design , construction , consulting , and related agreements for owners , contractors , and developers Advise clients on insurance requirements, bonding, lien law, and other construction risk mitigation strategies Support transactional matters involving major development and infrastructure projects Conduct legal research and prepare detailed memoranda and contract analyses Collaborate with partners and cross-disciplinary teams on project planning and risk assessment Participate in construction-related dispute matters , including claim evaluation and litigation support Provide practical, business-oriented counsel to clients across all phases of project delivery Why Join Us? This role offers an unparalleled platform to work within one of the nations most dynamic and sophisticated construction practices (link removed) Attorneys in this group regularly advise on landmark, high-value development projects , gaining exposure to cutting-edge deal structures, complex risk allocation issues, and cross-disciplinary collaboration with leading construction, real estate, and infrastructure attorneys. The practice is known for its deep industry expertise , exceptional training , and a culture that blends high performance with genuine collegiality. For associates seeking to build a career at the intersection of law, engineering, and major real estate development, this opportunity provides extraordinary hands-on experience , direct client interaction, and meaningful professional growth within a team that takes pride in delivering excellence on every matter. Compensation & Benefits Competitive Salary : Expected annual base salary range of $225,000-$280,000 , as determined by experience and market factors Bonus Eligibility Comprehensive Benefits Package: Includes medical, dental, vision, disability, and life insurance; paid parental leave; commuter benefits; employee assistance programs; paid time off; emergency childcare; 401(k)/retirement plans; and additional firm-sponsored perks Application Requirements Interested candidates should submit a cover letter , resume , and law school transcript for consideration. Our client is an Equal Opportunity Employer (link removed)>
11/21/2025
CONSTRUCTION ASSOCIATE ATTORNEY (JUNIORMID LEVEL) TRANSACTIONAL FOCUS Locations: Philadelphia, PA New York, NY HYBRID Our client, a prominent AmLaw 100 international law firm , is seeking a motivated Construction Associate Attorney to join its expanding Construction Practice Group in Philadelphia or New York (link removed) This is an exceptional opportunity to advise on sophisticated development projects and collaborate with a nationally recognized team handling high-profile, complex construction matters. Candidate Profile JD from a top-tier law school with an excellent academic record Active Bar Admission in the relevant jurisdiction , in good standing 24 years of substantive experience drafting and negotiating design and construction agreements Degree in Engineering , architecture , or construction management strongly preferred Experience representing owners and contractors on complex development projects Knowledge of insurance , bonding , lien law , and risk mitigation issues Exposure to or interest in construction litigation This role is primarily transactional , but may include litigation work Strong drafting, analytical, and negotiation skills Demonstrated ability to manage competing priorities and deliver high-quality work in a fast-paced environment Key Responsibilities Draft and negotiate design , construction , consulting , and related agreements for owners , contractors , and developers Advise clients on insurance requirements, bonding, lien law, and other construction risk mitigation strategies Support transactional matters involving major development and infrastructure projects Conduct legal research and prepare detailed memoranda and contract analyses Collaborate with partners and cross-disciplinary teams on project planning and risk assessment Participate in construction-related dispute matters , including claim evaluation and litigation support Provide practical, business-oriented counsel to clients across all phases of project delivery Why Join Us? This role offers an unparalleled platform to work within one of the nations most dynamic and sophisticated construction practices (link removed) Attorneys in this group regularly advise on landmark, high-value development projects , gaining exposure to cutting-edge deal structures, complex risk allocation issues, and cross-disciplinary collaboration with leading construction, real estate, and infrastructure attorneys. The practice is known for its deep industry expertise , exceptional training , and a culture that blends high performance with genuine collegiality. For associates seeking to build a career at the intersection of law, engineering, and major real estate development, this opportunity provides extraordinary hands-on experience , direct client interaction, and meaningful professional growth within a team that takes pride in delivering excellence on every matter. Compensation & Benefits Competitive Salary : Expected annual base salary range of $225,000-$280,000 , as determined by experience and market factors Bonus Eligibility Comprehensive Benefits Package: Includes medical, dental, vision, disability, and life insurance; paid parental leave; commuter benefits; employee assistance programs; paid time off; emergency childcare; 401(k)/retirement plans; and additional firm-sponsored perks Application Requirements Interested candidates should submit a cover letter , resume , and law school transcript for consideration. Our client is an Equal Opportunity Employer (link removed)>
About the Role: We are seeking a Backend Lead who is passionate about building reliable, secure and scalable platforms that power web and mobile experiences. You will lead the backend engineering efforts across our product surface area - from public APIs and internal services to developer-facing tools and integrations. This role blends technical leadership and people leadership: you will supervise a small team of two backend engineers while remaining hands-on in architecture, implementation and delivery. You will collaborate closely with Product, your manager and other engineering leads/ICs and occasionally Design to deliver high-quality, maintainable systems that accelerate our roadmap. Reports to VP, Engineering Location: US Location Type: NYC / Remote What you'll do: Lead the end-to-end backend design, implementation and delivery across APIs, services and developer tools. Own architecture, reliability, performance, security and scalability for backend systems; collaborate with the Platform team on observability and infrastructure. Supervise and support a team of two backend engineers : set clear goals, facilitate execution, provide coaching and feedback and cultivate a healthy engineering culture - with room to take on broader people-lead scope over time. Partner with Product, mobile/SDK, web and Platform teams to scope projects, sequence work and align milestones across teams. Design and drive the backend REST API for our core products (mobile app and mobile SDK), ensuring interfaces are consistent, well-documented and ergonomic for mobile, web and third party clients. Build and maintain internal systems and services (e.g., data processing, job/queue execution, admin and back-office tools). Plan and deliver integrations with third-party seller platforms (such as Shopify) and help shape language-specific API clients in major languages (e.g., TypeScript, Python, Go). Own our customer-facing API and docs site , continuously improving developer experience, documentation quality and onboarding. Serve as a technical point of contact with customers and partners for API/integration projects, including technical discovery, integration guidance, and escalation. Establish and evolve engineering standards , including code review practices, testing strategy, CI/CD workflows and release processes, with clear test coverage expectations. Share and adopt best practices in AI development tooling and workflows (e.g., prompt engineering, evaluation, retrieval, orchestration), collaborating with teams across the org and continuously learning to raise the bar. Mentor junior engineers through pairing, design feedback and career-supportive guidance. Uphold security, privacy and compliance best practices; partner with the broader tech org on SOC 2 and GDPR initiatives; ensure high-quality releases with automation and comprehensive testing What you bring: 7+ years of professional backend engineering experience , including 2+ years in a lead and/or people-lead capacity. Strong track record designing, building and operating production APIs and services that are secure, observable and scalable. Proficiency in Python (e.g., FastAPI, Django, Flask) and AWS ; hands-on with Postgres , Redis , S3 and DynamoDB . Experience partnering with client teams (mobile, web or third party developers) to deliver APIs/SDKs and integrations. Comfort engaging with customers and partners as a technical point of contact for API/integration work. Expertise in system design, API design and data modeling ; a holistic client perspective when designing APIs (e.g., mobile-first flows, request patterns and payload shapes that fit how clients consume and cache data). Experience leading code reviews , setting engineering standards and mentoring engineers across levels. Familiarity with CI/CD, automated testing and modern observability (e.g., OpenTelemetry); comfortable collaborating with a Platform team that manages the tooling. Strong cross-functional communication; ability to influence and align stakeholders and drive clarity. Proven ability to balance strategic thinking with hands-on execution . Nice to have: Experience with SDKs and mobile-backend patterns supporting iOS/Android clients. Background building developer platforms : docs sites, API references, SDKs/clients or developer portals. Experience building integrations with e-commerce/marketplace seller platforms . Exposure to AI/ML or data-intensive/streaming systems. Experience with global/multi-market or multi-region products. TypeScript experience; helpful for collaborating on developer tools and services. The starting salary for this role is competitive and will depend on skills and experience. We have competitive pay bands for all other countries based on market standards. Individual compensation decisions are based on several factors, including experience level, skill set and balancing internal equity relative to peers at the company. Based on these factors, we expect most of the candidates offered roles at our company to fall healthily throughout the range. We recognize that the person we hire may be less experienced (or more senior) than this job description, as posted. If so, the updated salary range will be communicated to you as a candidate.
11/20/2025
Full time
About the Role: We are seeking a Backend Lead who is passionate about building reliable, secure and scalable platforms that power web and mobile experiences. You will lead the backend engineering efforts across our product surface area - from public APIs and internal services to developer-facing tools and integrations. This role blends technical leadership and people leadership: you will supervise a small team of two backend engineers while remaining hands-on in architecture, implementation and delivery. You will collaborate closely with Product, your manager and other engineering leads/ICs and occasionally Design to deliver high-quality, maintainable systems that accelerate our roadmap. Reports to VP, Engineering Location: US Location Type: NYC / Remote What you'll do: Lead the end-to-end backend design, implementation and delivery across APIs, services and developer tools. Own architecture, reliability, performance, security and scalability for backend systems; collaborate with the Platform team on observability and infrastructure. Supervise and support a team of two backend engineers : set clear goals, facilitate execution, provide coaching and feedback and cultivate a healthy engineering culture - with room to take on broader people-lead scope over time. Partner with Product, mobile/SDK, web and Platform teams to scope projects, sequence work and align milestones across teams. Design and drive the backend REST API for our core products (mobile app and mobile SDK), ensuring interfaces are consistent, well-documented and ergonomic for mobile, web and third party clients. Build and maintain internal systems and services (e.g., data processing, job/queue execution, admin and back-office tools). Plan and deliver integrations with third-party seller platforms (such as Shopify) and help shape language-specific API clients in major languages (e.g., TypeScript, Python, Go). Own our customer-facing API and docs site , continuously improving developer experience, documentation quality and onboarding. Serve as a technical point of contact with customers and partners for API/integration projects, including technical discovery, integration guidance, and escalation. Establish and evolve engineering standards , including code review practices, testing strategy, CI/CD workflows and release processes, with clear test coverage expectations. Share and adopt best practices in AI development tooling and workflows (e.g., prompt engineering, evaluation, retrieval, orchestration), collaborating with teams across the org and continuously learning to raise the bar. Mentor junior engineers through pairing, design feedback and career-supportive guidance. Uphold security, privacy and compliance best practices; partner with the broader tech org on SOC 2 and GDPR initiatives; ensure high-quality releases with automation and comprehensive testing What you bring: 7+ years of professional backend engineering experience , including 2+ years in a lead and/or people-lead capacity. Strong track record designing, building and operating production APIs and services that are secure, observable and scalable. Proficiency in Python (e.g., FastAPI, Django, Flask) and AWS ; hands-on with Postgres , Redis , S3 and DynamoDB . Experience partnering with client teams (mobile, web or third party developers) to deliver APIs/SDKs and integrations. Comfort engaging with customers and partners as a technical point of contact for API/integration work. Expertise in system design, API design and data modeling ; a holistic client perspective when designing APIs (e.g., mobile-first flows, request patterns and payload shapes that fit how clients consume and cache data). Experience leading code reviews , setting engineering standards and mentoring engineers across levels. Familiarity with CI/CD, automated testing and modern observability (e.g., OpenTelemetry); comfortable collaborating with a Platform team that manages the tooling. Strong cross-functional communication; ability to influence and align stakeholders and drive clarity. Proven ability to balance strategic thinking with hands-on execution . Nice to have: Experience with SDKs and mobile-backend patterns supporting iOS/Android clients. Background building developer platforms : docs sites, API references, SDKs/clients or developer portals. Experience building integrations with e-commerce/marketplace seller platforms . Exposure to AI/ML or data-intensive/streaming systems. Experience with global/multi-market or multi-region products. TypeScript experience; helpful for collaborating on developer tools and services. The starting salary for this role is competitive and will depend on skills and experience. We have competitive pay bands for all other countries based on market standards. Individual compensation decisions are based on several factors, including experience level, skill set and balancing internal equity relative to peers at the company. Based on these factors, we expect most of the candidates offered roles at our company to fall healthily throughout the range. We recognize that the person we hire may be less experienced (or more senior) than this job description, as posted. If so, the updated salary range will be communicated to you as a candidate.
Desktop Engineer NYC, NY (Onsite 5 days a week) Only local candidates needed Position type: W2 contract Duration: 12 months Job Description: The DeskOps Engineer will be responsible for the deployment, maintenance, and support of corporate applications and desktop infrastructure Primary responsibilities include handling day to day user issues and escalations, packaging, software deployments and patching standards. Experience with App Volumes Manager to create, provision, assign, update, edit, and delete, and manage AppStacks. Work with application owners to package, script and automate application installs with custom parameters. Experience in troubleshooting Windows operating systems to include application-level support. Administration of monthly patches deployments via SCCM to the VDI environment. Provide support off-hours and remotely (i.e., from home) when needed. Administration of monthly patches deployments via SCCM to the VDI environment. Maintain and support virtual desktop (VDI) platform VMware View brokers, monitor availability and performance of physical and virtual desktop systems. Responsible for creating and maintaining desktop images with SCCM 2012. Responsible for creating and maintaining thin client images (Wyse and Client Thin Clients Create collections and advertisements for mass software distribution using custom scripting where needed. Create collections and advertisements for mass software distribution using custom scripting where needed. Maintain ongoing communications with support teams regarding application issue resolutions. Candidate must be able to work as part of a team in supporting an enterprise level infrastructure. Serve as the escalation point for IT Operations and Service Desk for OS-related issues. Requirements Applications: SCCM, Office 365 (2010/2016), OS Deployment, Thin Client Image, VMWare vSphere/Horizon/View, MDOP OS: Windows 10 Hardware: Wyse/Client Thin Clients Bachelor's degree in Technical, engineering, computer science or equivalent experience. 3+ years of experience supporting in a mission-critical environment. Good understanding of operating system administration (Windows Ability to work in a fast-paced environment supporting real-time market data and trading. Organized and methodical troubleshooting skills Scripting and automation expertise. Excellent written and oral communication skills.
11/14/2025
Desktop Engineer NYC, NY (Onsite 5 days a week) Only local candidates needed Position type: W2 contract Duration: 12 months Job Description: The DeskOps Engineer will be responsible for the deployment, maintenance, and support of corporate applications and desktop infrastructure Primary responsibilities include handling day to day user issues and escalations, packaging, software deployments and patching standards. Experience with App Volumes Manager to create, provision, assign, update, edit, and delete, and manage AppStacks. Work with application owners to package, script and automate application installs with custom parameters. Experience in troubleshooting Windows operating systems to include application-level support. Administration of monthly patches deployments via SCCM to the VDI environment. Provide support off-hours and remotely (i.e., from home) when needed. Administration of monthly patches deployments via SCCM to the VDI environment. Maintain and support virtual desktop (VDI) platform VMware View brokers, monitor availability and performance of physical and virtual desktop systems. Responsible for creating and maintaining desktop images with SCCM 2012. Responsible for creating and maintaining thin client images (Wyse and Client Thin Clients Create collections and advertisements for mass software distribution using custom scripting where needed. Create collections and advertisements for mass software distribution using custom scripting where needed. Maintain ongoing communications with support teams regarding application issue resolutions. Candidate must be able to work as part of a team in supporting an enterprise level infrastructure. Serve as the escalation point for IT Operations and Service Desk for OS-related issues. Requirements Applications: SCCM, Office 365 (2010/2016), OS Deployment, Thin Client Image, VMWare vSphere/Horizon/View, MDOP OS: Windows 10 Hardware: Wyse/Client Thin Clients Bachelor's degree in Technical, engineering, computer science or equivalent experience. 3+ years of experience supporting in a mission-critical environment. Good understanding of operating system administration (Windows Ability to work in a fast-paced environment supporting real-time market data and trading. Organized and methodical troubleshooting skills Scripting and automation expertise. Excellent written and oral communication skills.
AI Platform Architect for one of its clients in NYC Job Title AI Platform Architect Required Skills Responsibilities: Design and develop end-to-end applications that seamlessly integrate machine learning capabilities, including real-time inference, batch processing, and efficient data management to deliver scalable and robust solutions. Identify bottlenecks in the model development, deployment, and monitoring process. Design and implement production-ready machine learning pipelines, including model training, validation, deployment, and monitoring (e.g., labelled data sets to check performance of prompts). Build scalable, high-performance infrastructure to support Generative AI workflows (e.g., distributed training, inference optimization, and GPU/TPU utilization). Deploy GenAI applications into production cloud environments with performance, cost, and latency trade-offs considered (e.g., open-source vs. closed-source, quantization, prompt token length, completion caching, prompt caching). Monitor and troubleshoot model performance, addressing issues such as performance drift and response latency. Stay at the forefront of Generative AI advancements, identifying opportunities to incorporate the latest research and techniques into production systems. Qualifications: Bachelor's or advanced degree in computer science, engineering, or a related field. 3+ years of experience in machine learning engineering, with a focus on deploying AI systems at scale. Experience working with large-scale Generative AI applications in production environments. Relevant experience in the legal domain is a plus. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI tools and techniques (e.g., LLMs, quantization, synthetic data generation, knowledge distillation, retrieval-augmented generation, fine-tuning). Proficiency in commons GenAI libraries (e.g., LangChain, Autogen) and cloud-native AI services (e.g., Azure search) Knowledge of cloud infrastructure (e.g., Azure) and management tools for IT components, storage, networking, and caching. Familiarity with ML Ops principles, including CI/CD pipelines, containerization, and automated testing for AI systems. Experience with modern container platforms (e.g., Docker, OpenShift) and tools like Jenkins, Git, and Sonar. Strong problem-solving skills with the ability to address complex technical challenges. Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders. Eagerness to stay updated with cutting-edge AI research and apply innovative ideas to real-world problems. Organization and attention to detail, ensuring high-quality delivery. Ability to work collaboratively to create innovative and efficient solutions. Work Site: NYC Duration 12 Months Expected Start Date: Immediate Number of Positions 1
11/13/2025
AI Platform Architect for one of its clients in NYC Job Title AI Platform Architect Required Skills Responsibilities: Design and develop end-to-end applications that seamlessly integrate machine learning capabilities, including real-time inference, batch processing, and efficient data management to deliver scalable and robust solutions. Identify bottlenecks in the model development, deployment, and monitoring process. Design and implement production-ready machine learning pipelines, including model training, validation, deployment, and monitoring (e.g., labelled data sets to check performance of prompts). Build scalable, high-performance infrastructure to support Generative AI workflows (e.g., distributed training, inference optimization, and GPU/TPU utilization). Deploy GenAI applications into production cloud environments with performance, cost, and latency trade-offs considered (e.g., open-source vs. closed-source, quantization, prompt token length, completion caching, prompt caching). Monitor and troubleshoot model performance, addressing issues such as performance drift and response latency. Stay at the forefront of Generative AI advancements, identifying opportunities to incorporate the latest research and techniques into production systems. Qualifications: Bachelor's or advanced degree in computer science, engineering, or a related field. 3+ years of experience in machine learning engineering, with a focus on deploying AI systems at scale. Experience working with large-scale Generative AI applications in production environments. Relevant experience in the legal domain is a plus. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI tools and techniques (e.g., LLMs, quantization, synthetic data generation, knowledge distillation, retrieval-augmented generation, fine-tuning). Proficiency in commons GenAI libraries (e.g., LangChain, Autogen) and cloud-native AI services (e.g., Azure search) Knowledge of cloud infrastructure (e.g., Azure) and management tools for IT components, storage, networking, and caching. Familiarity with ML Ops principles, including CI/CD pipelines, containerization, and automated testing for AI systems. Experience with modern container platforms (e.g., Docker, OpenShift) and tools like Jenkins, Git, and Sonar. Strong problem-solving skills with the ability to address complex technical challenges. Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders. Eagerness to stay updated with cutting-edge AI research and apply innovative ideas to real-world problems. Organization and attention to detail, ensuring high-quality delivery. Ability to work collaboratively to create innovative and efficient solutions. Work Site: NYC Duration 12 Months Expected Start Date: Immediate Number of Positions 1
Job DetailsJob Description Title: Azure Active Directory EngineerLocation: Dallas Fort Worth Duration: Contract The role is expected to perform Active Directory(AD) and Azure AD administration, maintenance, and automation, as well as provide ongoing support to enterprise customers.Minimum Qualifications - Education & Prior Job Experience Bachelors degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of technology experience, with a focus on information security technology development, support, and administrationPreferred Qualifications Education & Prior Job Experience Masters degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5+ years of technology experience, with a focus on information security technology development, support, and administrationSkills, Licenses & Certifications Hands on experience with Microsoft Azure, Azure Active Directory(AAD), AAD Connect, ADFS and Office 365. Single Sign-On with Azure AD and other services for seamless integration Extensive knowledge and experience in all facets of AD-related tasks and activities, including automation workflows General knowledge of OData REST API, Microsoft Graph REST API and JSON batching and workflow automation using tools like Microfocus Directory Resource Administration(DRA) Ability to author and edit scripts, such as PowerShell, VBS, or similar Experience with Microsoft Advanced Group Policy Management (AGPM)Experience with Microsoft Identity Management or Forefront Identity Management, including custom development. Experience with Microsoft Distributed File System (DFS) and Microsoft Distributed File System Replication (DFSR) Experience with server virtualization technologies (VMware or Microsoft Hyper-V) Understanding of Microsoft online services and ability to assist with integration efforts Ability to thrive in a sense-of-urgency environment and leverage best practices Proficiency in Agile project management methodologyLanguage & Communication Skills Ability to effectively communicate both verbally and written with all levels within the organization Ability to explain technical concepts and adjust messaging based on the audience, including non-technical groups Ability to influence through outstanding interpersonal skills, collaboration, and negotiation skills Ability to work well within a team environment, as well as independently Do1. Bridging the gap between project and support teams through techno-functional expertise For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines Provide techno-functional solution support for all the new business implementations while building the entire system from the scratchSupport the solutioning team from architectural design, coding, testing and implementationUnderstand the functional design as well as technical design and architecture to be implemented on the ERP systemCustomize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & productionImplement the business processes, requirements and the underlying ERP technology to translate them into ERP solutionsWrite code as per the developmental standards to decide upon the implementation methodologyProvide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may ariseCreate and deploy automation tools/ solutions to ensure process optimization and increase in efficiencySink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordinglySupport on-site manager with the necessary details wrt any change and off-site support 2. Skill upgradation and competency buildingClear wipro exams and internal certifications from time to time to upgrade the skillsAttend trainings, seminars to sharpen the knowledge in functional/ technical domainWrite papers, articles, case studies and publish them on the intranet DeliverNo.Performance ParameterMeasure1.Contribution to customer projectsQuality, SLA, ETA, no. of tickets resolved, problem solved, # of change requests implemented, zero customer escalation, CSAT2.AutomationProcess optimization, reduction in process/ steps, reduction in no. of tickets raised3.Skill upgradation# of trainings & certifications completed, # of papers, articles written in a quarter Mandatory Skills: Active Directory (link removed) Experience: 5-8 Years (link removed) The expected compensation for this role ranges from $60,000 to $135,000 (link removed) Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
11/09/2025
Job DetailsJob Description Title: Azure Active Directory EngineerLocation: Dallas Fort Worth Duration: Contract The role is expected to perform Active Directory(AD) and Azure AD administration, maintenance, and automation, as well as provide ongoing support to enterprise customers.Minimum Qualifications - Education & Prior Job Experience Bachelors degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of technology experience, with a focus on information security technology development, support, and administrationPreferred Qualifications Education & Prior Job Experience Masters degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5+ years of technology experience, with a focus on information security technology development, support, and administrationSkills, Licenses & Certifications Hands on experience with Microsoft Azure, Azure Active Directory(AAD), AAD Connect, ADFS and Office 365. Single Sign-On with Azure AD and other services for seamless integration Extensive knowledge and experience in all facets of AD-related tasks and activities, including automation workflows General knowledge of OData REST API, Microsoft Graph REST API and JSON batching and workflow automation using tools like Microfocus Directory Resource Administration(DRA) Ability to author and edit scripts, such as PowerShell, VBS, or similar Experience with Microsoft Advanced Group Policy Management (AGPM)Experience with Microsoft Identity Management or Forefront Identity Management, including custom development. Experience with Microsoft Distributed File System (DFS) and Microsoft Distributed File System Replication (DFSR) Experience with server virtualization technologies (VMware or Microsoft Hyper-V) Understanding of Microsoft online services and ability to assist with integration efforts Ability to thrive in a sense-of-urgency environment and leverage best practices Proficiency in Agile project management methodologyLanguage & Communication Skills Ability to effectively communicate both verbally and written with all levels within the organization Ability to explain technical concepts and adjust messaging based on the audience, including non-technical groups Ability to influence through outstanding interpersonal skills, collaboration, and negotiation skills Ability to work well within a team environment, as well as independently Do1. Bridging the gap between project and support teams through techno-functional expertise For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines Provide techno-functional solution support for all the new business implementations while building the entire system from the scratchSupport the solutioning team from architectural design, coding, testing and implementationUnderstand the functional design as well as technical design and architecture to be implemented on the ERP systemCustomize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & productionImplement the business processes, requirements and the underlying ERP technology to translate them into ERP solutionsWrite code as per the developmental standards to decide upon the implementation methodologyProvide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may ariseCreate and deploy automation tools/ solutions to ensure process optimization and increase in efficiencySink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordinglySupport on-site manager with the necessary details wrt any change and off-site support 2. Skill upgradation and competency buildingClear wipro exams and internal certifications from time to time to upgrade the skillsAttend trainings, seminars to sharpen the knowledge in functional/ technical domainWrite papers, articles, case studies and publish them on the intranet DeliverNo.Performance ParameterMeasure1.Contribution to customer projectsQuality, SLA, ETA, no. of tickets resolved, problem solved, # of change requests implemented, zero customer escalation, CSAT2.AutomationProcess optimization, reduction in process/ steps, reduction in no. of tickets raised3.Skill upgradation# of trainings & certifications completed, # of papers, articles written in a quarter Mandatory Skills: Active Directory (link removed) Experience: 5-8 Years (link removed) The expected compensation for this role ranges from $60,000 to $135,000 (link removed) Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
WHO YOULL WORK WITHYoull join Bains Private Equity Group (PEG), collaborating across product, data, and engineering teams to define how Bain manages and leverages its data. This role is central to building Bains enterprise data strategy and enabling advanced analytics and AI/ML capabilities that drive impact at scale. WHERE YOULL FIT WITHIN THE TEAMAs VP, Data Architecture, you will lead Bains enterprise data architecture, ensuring our data is well-structured, governed, and powering analytics and AI initiatives. Youll set the firms data vision and partner with senior stakeholders to turn strategy into reality. WHAT YOULL DO Define Bains enterprise data strategy, governance, and platform vision. Lead the build-out of cloud-native data ecosystems (lakehouse, data mesh, streaming). Ensure data quality, compliance, and security across global operations. Enable advanced analytics and AI/ML integration through scalable data platforms. Communicate the data strategy clearly to executives and cross-functional teams. ABOUT YOUMust-Have: 10+ years in data engineering or data architecture leadership. Deep expertise in data governance, modeling, and quality frameworks. Proven track record building and scaling cloud-native data platforms. Experience enabling analytics and AI/ML (MLOps, feature stores, pipelines). Strong ability to influence C-level stakeholders with clear communication. Nice-to-Have: Experience in high-growth tech or PE-backed companies. Familiarity with building data products that support client-facing platforms. Thought leadership in data strategy/architecture communities. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the worlds best places to work. We are currently the ranked consulting firm on Glassdoors Best Places to Work list and have maintained a spot in the top four since its founding in 2009. Extraordinary teams are at the heart of our strategy, and we are intentional about creating an environment where people from diverse backgrounds can thrive. We hire exceptional talent and provide the support, resources, and opportunities needed to succeed both professionally and personally. U.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bains best-in-class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows: In New York City, the good-faith, reasonable annualized full-time salary range for this role is between US$220,000 US$276,000. Placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training, and skill level. Annual discretionary performance bonus This role may also be eligible for other elements of discretionary compensation 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection, and stability in the areas most important to you and your family. Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck Generous paid time off, including parental leave, sick leave and paid holidays Fully vested 401(k) company contribution Paid Life and Long-Term Disability insurance Annual fitness reimbursements For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
11/09/2025
WHO YOULL WORK WITHYoull join Bains Private Equity Group (PEG), collaborating across product, data, and engineering teams to define how Bain manages and leverages its data. This role is central to building Bains enterprise data strategy and enabling advanced analytics and AI/ML capabilities that drive impact at scale. WHERE YOULL FIT WITHIN THE TEAMAs VP, Data Architecture, you will lead Bains enterprise data architecture, ensuring our data is well-structured, governed, and powering analytics and AI initiatives. Youll set the firms data vision and partner with senior stakeholders to turn strategy into reality. WHAT YOULL DO Define Bains enterprise data strategy, governance, and platform vision. Lead the build-out of cloud-native data ecosystems (lakehouse, data mesh, streaming). Ensure data quality, compliance, and security across global operations. Enable advanced analytics and AI/ML integration through scalable data platforms. Communicate the data strategy clearly to executives and cross-functional teams. ABOUT YOUMust-Have: 10+ years in data engineering or data architecture leadership. Deep expertise in data governance, modeling, and quality frameworks. Proven track record building and scaling cloud-native data platforms. Experience enabling analytics and AI/ML (MLOps, feature stores, pipelines). Strong ability to influence C-level stakeholders with clear communication. Nice-to-Have: Experience in high-growth tech or PE-backed companies. Familiarity with building data products that support client-facing platforms. Thought leadership in data strategy/architecture communities. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the worlds best places to work. We are currently the ranked consulting firm on Glassdoors Best Places to Work list and have maintained a spot in the top four since its founding in 2009. Extraordinary teams are at the heart of our strategy, and we are intentional about creating an environment where people from diverse backgrounds can thrive. We hire exceptional talent and provide the support, resources, and opportunities needed to succeed both professionally and personally. U.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bains best-in-class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows: In New York City, the good-faith, reasonable annualized full-time salary range for this role is between US$220,000 US$276,000. Placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training, and skill level. Annual discretionary performance bonus This role may also be eligible for other elements of discretionary compensation 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection, and stability in the areas most important to you and your family. Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck Generous paid time off, including parental leave, sick leave and paid holidays Fully vested 401(k) company contribution Paid Life and Long-Term Disability insurance Annual fitness reimbursements For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
WHO YOULL WORK WITHYoull join Bains Private Equity Group (PEG), working closely with senior leadership to define the architectural vision for our proprietary software platforms. This role sits at the intersection of product, engineering, and data, and will play a pivotal part in how Bains technology evolves to deliver impact for our clients. WHERE YOULL FIT WITHIN THE TEAMAs VP, Market Architecture, you will lead the definition and governance of Bains enterprise platform architecture. Youll ensure our internal tools and client-facing products connect seamlessly, scale effectively, and operate with enterprise-grade reliability and security. This is a leadership role with significant influence across Bains innovation agenda. WHAT YOULL DO Define and govern Bains platform architecture, ensuring scalability across multiple products and services. Establish and enforce architectural standards across UX, APIs, and microservices. Translate technology vision into actionable roadmaps, aligning with product and business priorities. Partner with leaders across PEG to integrate tools into a cohesive, strategic platform. Represent Bain in architecture forums and ensure our platforms are enterprise-grade, secure, and scalable. ABOUT YOUMust-Have: 10+ years in enterprise/solution/platform architecture, with senior leadership exposure. Proven experience leading architecture for enterprise-grade platforms from design through scale. Expertise in cloud-native, hyperscale environments (APIs, microservices, distributed systems). Ability to translate technical strategy into business-impact outcomes. Strong grounding in security, compliance, and reliability. Nice-to-Have: Experience in a startup or scale-up environment. Thought leadership credentials (standards bodies, publications, industry forums). Prior experience in SaaS or PE-backed tech companies. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the worlds best places to work. We are currently the ranked consulting firm on Glassdoors Best Places to Work list and have maintained a spot in the top four since its founding in 2009. Extraordinary teams are at the heart of our strategy, and we are intentional about creating an environment where people from diverse backgrounds can thrive. We hire exceptional talent and provide the support, resources, and opportunities needed to succeed both professionally and personally. U.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bains best-in-class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows: In New York City, the good-faith, reasonable annualized full-time salary range for this role is between US$220,000 US$276,000. Placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training, and skill level. Annual discretionary performance bonus This role may also be eligible for other elements of discretionary compensation 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection, and stability in the areas most important to you and your family. Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck Generous paid time off, including parental leave, sick leave and paid holidays Fully vested 401(k) company contribution Paid Life and Long-Term Disability insurance Annual fitness reimbursements For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
11/09/2025
WHO YOULL WORK WITHYoull join Bains Private Equity Group (PEG), working closely with senior leadership to define the architectural vision for our proprietary software platforms. This role sits at the intersection of product, engineering, and data, and will play a pivotal part in how Bains technology evolves to deliver impact for our clients. WHERE YOULL FIT WITHIN THE TEAMAs VP, Market Architecture, you will lead the definition and governance of Bains enterprise platform architecture. Youll ensure our internal tools and client-facing products connect seamlessly, scale effectively, and operate with enterprise-grade reliability and security. This is a leadership role with significant influence across Bains innovation agenda. WHAT YOULL DO Define and govern Bains platform architecture, ensuring scalability across multiple products and services. Establish and enforce architectural standards across UX, APIs, and microservices. Translate technology vision into actionable roadmaps, aligning with product and business priorities. Partner with leaders across PEG to integrate tools into a cohesive, strategic platform. Represent Bain in architecture forums and ensure our platforms are enterprise-grade, secure, and scalable. ABOUT YOUMust-Have: 10+ years in enterprise/solution/platform architecture, with senior leadership exposure. Proven experience leading architecture for enterprise-grade platforms from design through scale. Expertise in cloud-native, hyperscale environments (APIs, microservices, distributed systems). Ability to translate technical strategy into business-impact outcomes. Strong grounding in security, compliance, and reliability. Nice-to-Have: Experience in a startup or scale-up environment. Thought leadership credentials (standards bodies, publications, industry forums). Prior experience in SaaS or PE-backed tech companies. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the worlds best places to work. We are currently the ranked consulting firm on Glassdoors Best Places to Work list and have maintained a spot in the top four since its founding in 2009. Extraordinary teams are at the heart of our strategy, and we are intentional about creating an environment where people from diverse backgrounds can thrive. We hire exceptional talent and provide the support, resources, and opportunities needed to succeed both professionally and personally. U.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bains best-in-class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows: In New York City, the good-faith, reasonable annualized full-time salary range for this role is between US$220,000 US$276,000. Placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training, and skill level. Annual discretionary performance bonus This role may also be eligible for other elements of discretionary compensation 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection, and stability in the areas most important to you and your family. Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck Generous paid time off, including parental leave, sick leave and paid holidays Fully vested 401(k) company contribution Paid Life and Long-Term Disability insurance Annual fitness reimbursements For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
WHO YOULL WORK WITHYoull join Bains Private Equity Group (PEG), working closely with senior leadership to define the architectural vision for our proprietary software platforms. This role sits at the intersection of product, engineering, and data, and will play a pivotal part in how Bains technology evolves to deliver impact for our clients. WHERE YOULL FIT WITHIN THE TEAMAs Chief Architect Engineer, you will lead the definition and governance of Bains enterprise platform architecture. Youll ensure our internal tools and client-facing products connect seamlessly, scale effectively, and operate with enterprise-grade reliability and security. This is a leadership role with significant influence across Bains innovation agenda. WHAT YOULL DO Define and govern Bains platform architecture, ensuring scalability across multiple products and services. Establish and enforce architectural standards across UX, APIs, and microservices. Translate technology vision into actionable roadmaps, aligning with product and business priorities. Partner with leaders across PEG to integrate tools into a cohesive, strategic platform. Represent Bain in architecture forums and ensure our platforms are enterprise-grade, secure, and scalable. ABOUT YOUMust-Have: 10+ years in enterprise/solution/platform architecture, with senior leadership exposure. Proven experience leading architecture for enterprise-grade platforms from design through scale. Expertise in cloud-native, hyperscale environments (APIs, microservices, distributed systems). Ability to translate technical strategy into business-impact outcomes. Strong grounding in security, compliance, and reliability. Nice-to-Have: Experience in a startup or scale-up environment. Thought leadership credentials (standards bodies, publications, industry forums). Prior experience in SaaS or PE-backed tech companies. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the worlds best places to work. We are currently the ranked consulting firm on Glassdoors Best Places to Work list and have maintained a spot in the top four since its founding in 2009. Extraordinary teams are at the heart of our strategy, and we are intentional about creating an environment where people from diverse backgrounds can thrive. We hire exceptional talent and provide the support, resources, and opportunities needed to succeed both professionally and personally. U.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bains best-in-class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows: In New York City, the good-faith, reasonable annualized full-time salary range for this role is between US$220,000 US$276,000. Placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training, and skill level. Annual discretionary performance bonus This role may also be eligible for other elements of discretionary compensation 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection, and stability in the areas most important to you and your family. Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck Generous paid time off, including parental leave, sick leave and paid holidays Fully vested 401(k) company contribution Paid Life and Long-Term Disability insurance Annual fitness reimbursements For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
11/09/2025
WHO YOULL WORK WITHYoull join Bains Private Equity Group (PEG), working closely with senior leadership to define the architectural vision for our proprietary software platforms. This role sits at the intersection of product, engineering, and data, and will play a pivotal part in how Bains technology evolves to deliver impact for our clients. WHERE YOULL FIT WITHIN THE TEAMAs Chief Architect Engineer, you will lead the definition and governance of Bains enterprise platform architecture. Youll ensure our internal tools and client-facing products connect seamlessly, scale effectively, and operate with enterprise-grade reliability and security. This is a leadership role with significant influence across Bains innovation agenda. WHAT YOULL DO Define and govern Bains platform architecture, ensuring scalability across multiple products and services. Establish and enforce architectural standards across UX, APIs, and microservices. Translate technology vision into actionable roadmaps, aligning with product and business priorities. Partner with leaders across PEG to integrate tools into a cohesive, strategic platform. Represent Bain in architecture forums and ensure our platforms are enterprise-grade, secure, and scalable. ABOUT YOUMust-Have: 10+ years in enterprise/solution/platform architecture, with senior leadership exposure. Proven experience leading architecture for enterprise-grade platforms from design through scale. Expertise in cloud-native, hyperscale environments (APIs, microservices, distributed systems). Ability to translate technical strategy into business-impact outcomes. Strong grounding in security, compliance, and reliability. Nice-to-Have: Experience in a startup or scale-up environment. Thought leadership credentials (standards bodies, publications, industry forums). Prior experience in SaaS or PE-backed tech companies. WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the worlds best places to work. We are currently the ranked consulting firm on Glassdoors Best Places to Work list and have maintained a spot in the top four since its founding in 2009. Extraordinary teams are at the heart of our strategy, and we are intentional about creating an environment where people from diverse backgrounds can thrive. We hire exceptional talent and provide the support, resources, and opportunities needed to succeed both professionally and personally. U.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bains best-in-class benefits package (details listed below). Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows: In New York City, the good-faith, reasonable annualized full-time salary range for this role is between US$220,000 US$276,000. Placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training, and skill level. Annual discretionary performance bonus This role may also be eligible for other elements of discretionary compensation 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection, and stability in the areas most important to you and your family. Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck Generous paid time off, including parental leave, sick leave and paid holidays Fully vested 401(k) company contribution Paid Life and Long-Term Disability insurance Annual fitness reimbursements For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
Radio Engineer - 47738-1 Location: Onsite: Plano, Texas Travel Required: 50%+ to US based plants Job Summary: We are seeking a skilled and detail-oriented Motorola Capacity Max Radio Engineer to lead and support the integration and operation of our Motorola radio systems. The ideal candidate will possess deep technical expertise in radio systems, particularly Motorola Capacity Max, and strong experience in TCP/IP networking, systems integration, and cross-functional collaboration. This role is essential to ensuring our radio infrastructure is robust, well-integrated with our broader IT environment, and aligned with business needs Key Responsibilities: Radio Network Integration: Design, configure, and support Motorola Capacity Max radio systems with a strong emphasis on TCP/IP network integration, including routers, switches, and IP-based system elements. Cross-Functional Coordination: Serve as the primary interface with LAN, server, and Operations teams to ensure seamless integration and operational support. Technical Project Management: Drive end-to-end technical project execution from requirement gathering through implementation ensuring timely and quality deliverables. Vendor Collaboration: Work closely with our radio vendor (Motorola or other) to troubleshoot, implement, and optimize system performance and features. Documentation & Drawings: Maintain and regularly update technical documentation, network diagrams, configuration templates, and project records. Stakeholder Interface: Engage with business units to gather functional requirements and translate them into detailed technical specifications and project scopes. Meetings & Task Management: Lead and participate in technical meetings, track action items, manage timelines, and ensure follow-up and closure on all assigned tasks. System Monitoring & Support: Provide ongoing support for radio infrastructure, monitor performance, and assist in system upgrades and patch management as needed. Qualifications: Required: 3+ years of experience in radio systems engineering, including Motorola Capacity Max. Strong knowledge of TCP/IP networking, routing, switching, and IP-based communications. Demonstrated experience in network integration and cross-system troubleshooting. Excellent communication and interpersonal skills for interfacing with technical teams, vendors, and business stakeholders. Proficiency in documentation tools (Visio, Confluence, etc and diagramming standards. Solid project management and task coordination capabilities. Preferred: Motorola certifications or relevant vendor training. Experience working with enterprise LAN/WAN and Windows/Linux server environments. Familiarity with ITIL or change management processes. Understanding of cybersecurity principles in radio communications environments. Soft Skills: Strong analytical and problem-solving abilities. Ability to work independently and within cross-functional teams. Proactive and self-driven with a sense of ownership and accountability. Skilled at managing multiple priorities in a fast-paced environment
11/09/2025
Radio Engineer - 47738-1 Location: Onsite: Plano, Texas Travel Required: 50%+ to US based plants Job Summary: We are seeking a skilled and detail-oriented Motorola Capacity Max Radio Engineer to lead and support the integration and operation of our Motorola radio systems. The ideal candidate will possess deep technical expertise in radio systems, particularly Motorola Capacity Max, and strong experience in TCP/IP networking, systems integration, and cross-functional collaboration. This role is essential to ensuring our radio infrastructure is robust, well-integrated with our broader IT environment, and aligned with business needs Key Responsibilities: Radio Network Integration: Design, configure, and support Motorola Capacity Max radio systems with a strong emphasis on TCP/IP network integration, including routers, switches, and IP-based system elements. Cross-Functional Coordination: Serve as the primary interface with LAN, server, and Operations teams to ensure seamless integration and operational support. Technical Project Management: Drive end-to-end technical project execution from requirement gathering through implementation ensuring timely and quality deliverables. Vendor Collaboration: Work closely with our radio vendor (Motorola or other) to troubleshoot, implement, and optimize system performance and features. Documentation & Drawings: Maintain and regularly update technical documentation, network diagrams, configuration templates, and project records. Stakeholder Interface: Engage with business units to gather functional requirements and translate them into detailed technical specifications and project scopes. Meetings & Task Management: Lead and participate in technical meetings, track action items, manage timelines, and ensure follow-up and closure on all assigned tasks. System Monitoring & Support: Provide ongoing support for radio infrastructure, monitor performance, and assist in system upgrades and patch management as needed. Qualifications: Required: 3+ years of experience in radio systems engineering, including Motorola Capacity Max. Strong knowledge of TCP/IP networking, routing, switching, and IP-based communications. Demonstrated experience in network integration and cross-system troubleshooting. Excellent communication and interpersonal skills for interfacing with technical teams, vendors, and business stakeholders. Proficiency in documentation tools (Visio, Confluence, etc and diagramming standards. Solid project management and task coordination capabilities. Preferred: Motorola certifications or relevant vendor training. Experience working with enterprise LAN/WAN and Windows/Linux server environments. Familiarity with ITIL or change management processes. Understanding of cybersecurity principles in radio communications environments. Soft Skills: Strong analytical and problem-solving abilities. Ability to work independently and within cross-functional teams. Proactive and self-driven with a sense of ownership and accountability. Skilled at managing multiple priorities in a fast-paced environment
