54 jobs found in Massachusetts

Director, Software Engineering Director, Software Engineering As a Capital One Director of Software Engineering, you'll work on implementing some of the technology advanced products using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the latest techniques in Big Data. You'll bring solid experience in both emerging and traditional technologies. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. In this role at Risk Tech, you will work with our internal Audit team to provide architectural guidance and technical leadership to help build best-in-class products for capital one. You will be a thought leader in this space to ensure we are building a world class product that is scalable, resilient, multi-tenant and can support a variety of use cases. You will be responsible to lead the teams with setting up the right vision, best in the industry engineering culture and developer experience. You will also closely partner with product partners and other stakeholders to define the strategy that will position Audit products to be the best in class product for enterprise users. Additionally, you will provide mentorship and strategic guidance to your direct reports helping them grow in their career at Capital One. 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. Our Directors Are Technologists: Strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions - will have a DevOps mindset Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff Partnership Attitude: Have the competencies to build very strong partnerships with other technology leaders that enable your team's ability to stay on the leading edge of industry solutions Passionate: Bring energy and enthusiasm to the job and organization Bold: History of taking smart, calculated risks and aggressively leading through change Achievers: Consistently attain/exceed individual and team goals You Will Lead, manage, and grow multiple teams of product focused software & data engineers Embrace and incubate emerging technology and open-source products across all platforms Work to modernize our existing tech stacks and data platforms Collaborate with internal teams to find areas of opportunities for automation and machine learning Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications Conduct design and code review to ensure compliance with standards 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 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. Cambridge, MA: $263,900 - $301,200 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).

Sr. Manager, Platform Engineering, Workday (Workday Security) The Workday Senior Manager, Platform Engineering will be responsible for leading the design, implementation, and maintenance of security and reporting measures to protect Capital One's Workday environment. This role involves working closely with cross-functional teams to ensure the confidentiality, integrity, and availability of Workday applications and data. The Workday Senior Manager will act as a subject matter expert in Workday security and reporting providing strategic guidance and technical expertise. This role will also lead our Workday change management efforts ensuring all changes to the platform follow our standard operating procedures in order to ensure a well managed platform for all users. Key Responsibilities: Security and Reporting Implementation: Lead in the design, implementation, and management of security and Reporting controls for the Workday environment. Ensure security configurations and Reports are robust and effective. Risk Assessment: Lead regular security assessments and SOX audits to identify vulnerabilities and risks within the Workday environment. Collaborate with the risk management team to develop and implement mitigation strategies. Access Management: Lead the Implementation and management of role-based access controls (RBAC) to ensure appropriate access levels for users. Incident Response : Lead in the investigation and response to security incidents related to the Workday environment. Lead in root cause analyses and remediation efforts. Policy Adherence: Ensure compliance with internal security policies and industry best practices. Contribute to the development and maintenance of security policies, procedures, and guidelines. Collaboration: Work closely with IT, HR, Finance and other business units to understand security requirements and integrate security measures into business processes. Provide technical Leadership and guidance to stakeholders. Continuous Improvement: Stay informed about the latest security trends, technologies, and best practices. Proactively suggest and drive improvements to enhance the security and reporting posture of the Workday environment. SOX Compliance: Support SOX audit activities by ensuring Workday security controls are in place and functioning as intended. Prepare documentation and evidence to demonstrate compliance with SOX requirements. Change Management : Manage the ongoing change management process that ensures all changes to the workday platform have the proper documentation, testing evidence, and approvals to move forward. Continuously evaluate opportunities to streamline, improve, and enhance the process. Basic Qualifications: High School Diploma, GED, or equivalent certification At least 8 years of experience with Workday functional configuration (Core HCM, Security, and Reporting) At least 4 years of experience in a technical leadership role overseeing strategic projects Preferred Qualifications: 9+ years of experience in Workday security administration 2+ years of experience configuring SSO with Workday using SAML 2.0 and integrating with enterprise identity providers. Workday Pro Certification in HCM Workday Pro Certification in Security 1+ year of experience with Workday Financials security module 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,000 - $220,300 for Sr. Manager, Platform Engineering Chicago, IL: $175,500 - $200,300 for Sr. Manager, Platform Engineering McLean, VA: $193,000 - $220,300 for Sr. Manager, Platform Engineering New York, NY: $210,500 - $240,300 for Sr. Manager, Platform Engineering Plano, TX: $175,500 - $200,300 for Sr. Manager, Platform Engineering San Francisco, CA: $210,500 - $240,300 for Sr. Manager, Platform Engineering San Jose, CA: $210,500 - $240,300 for Sr. Manager, Platform 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 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 I (AI Foundations) 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).

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 Title: Associate-Director, Human Factors and Usability Engineering Location: Morristown, NJ Cambridge, MA About the Job We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. The Associate Director will be responsible for leading and executing HFUE activities, continuous HFUE process improvements, driving user-centric design, optimizing the product user-interface, ensuring products are safe and effective for use and enhance the overall user experience for products across the strong pipeline. Drive HFUE initiatives in early stage, development, and LCM projects, ensuring strategic and rigorous execution and timely delivery. This role offers the opportunity to shape the future of medical device usability while working with cutting-edge technology with a global healthcare leader. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Lead human factors and usability engineering activities throughout product lifecycle Ensure product safety, effectiveness, and optimal user-interface design Drive user-centered design processes supporting Sanofi's product pipeline Collaborate with cross-functional teams to implement HFE best practices Oversee regulatory compliance and documentation About You Basic Qualifications: Bachelor's or master's degree in: Human Factors Engineering, Biomedical Engineering, Biomechanics, Mechanical Engineering, HF Behavioral Sciences or Psychology, Industrial Design or related field Extensive experience in pharmaceutical or medical device industry Deep knowledge of combination products and medical device human factors Strong understanding of FDA Guidance, International Standards, and Global Regulations Preferred Experience : Wide range of FDA submission experience Multidisciplinary perspective in: Device design, User research, Instructional design, Requirements generation, User-centric design across product lifecycle Technical Expertise: Strategic implementation of HFUE processes: User needs identification, Use requirements generation, Context of use definition, KUPs and use-related risk controls assessment, URRA execution, Study design and execution, UEF/DHF deliverable management, Regulatory submission documentation Leadership Competencies: Strategic thinking and risk-based decision making Agile leadership mindset Critical problem-solving abilities Innovation-driven approach Excellent communication and collaboration skills Why Choose Us Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

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).

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).

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).

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).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate 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: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 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 (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).

Our Story: Since 2006, our customers have trusted us to deliver on their aggressive digital transformation projects and rescue them from technology challenges that stall their business. SmarTek21 provides outcome-based deliverables by combining project-driven professional services and ongoing managed services that help identify, deploy, optimize and support the right technology and applications to deliver on your specific business goals. We are not a consulting firm, who typically have a siloed and short-term mentality that requires periodic re-architecting, re-deployment and disruption to day-to-day business. Instead, we offer a collaborative solution that helps ensure business goes smoothly today, tomorrow and for years to come. Our People: 400+ employees across the globe Flexible engagement model: project-based and ongoing managed services Use a blend of offshore and onshore resources to help reduce costs Our Packaged COTS/Services Expertise: Over a decade of experience helping customers identify, deploy, optimize, and support the right technology and applications Includes category leading enterprise applications such as SAP, Oracle and SharePoint Over 1/3 of our employees hold advanced certifications We leverage our experience to deliver on the goals of your business Our Products: To address unmet market needs, we ve developed our own line of products: SmartBotHub is an industry leading Conversational AI platform that solves tough challenges and unearths new opportunities through customer care and digital marketing programs Gartner s top 20 vendor. Enterprise Cloud Connect (ECC) provides a fast and easy way to connect disparate data sources and better integrate them with your systems. What we are looking for: Our Practice/Sales Enablement team is growing and looking for top-performing Solutions Consultants to join our team. Reporting to the Executive Team, you ll play a critical role in helping our prospects understand the Smartek21 value proposition. You will help support our Sales teams by utilizing your deep product knowledge and technical expertise to define and align solution(s) best suited for companies to enable their vision, operationalize their strategies and realize business value while also delivering an exceptional customer experience. What you'll do • Be a trusted adviser to our customers by understanding their processes, requirements, and challenges. Some also call this conducting discovery, but we call it earning the right to have a conversation. • Partner closely with our Sales team engaging with prospects and customers and with our engineering, product and design teams. • Engage customers in business, strategy, and ROI-based discussions to communicate how Smartek21 can help deliver value by changing the relationship they have with their customers. • Be an awesome technologist with lots of business acumen, able to draw out root causes to customer concerns, and apply phenomenal problem-solving skills to solve them. • Diagnose the status of a prospect or customer's ability to serve their own customer; credibly and with integrity, sell them on a new way of doing things, and an evolving vision for their future. • Tell compelling stories that are grounded in technology. These aren't just demos; we want you to paint a vision of what truly customer-centric service looks like! • Respond to RFIs and RFPs. (link removed)> • Travel to meet with our prospects and customers. • Play an active role in the post-sales phase to ensure ongoing customer success. • Be the voice of your prospects and customers. Role Requirements Position will be responsible for working with sales teams and prospects to define strategies, roadmaps and solutions aligned to deliver measurable results. Expert knowledge of Microsoft/AWS technologies Comfortable with Agile based software delivery methodologies Strong leadership and general management skills Good communication, negotiation, conflict resolution capabilities Demonstrated understanding of organizational environment and projects alignment to organization objectives Experience serving as a thought leader, domain expert and/or contributor in solution architecture development Advanced presentation skills to either a business or technical audience Comfortable tailoring and articulating complex technical concepts to a wide range of audiences Strong documentation skills Strong architecture diagramming skills Highly professional, experience working in mixed environments directly with EVP and C-level sponsors or line level technical staff Desirable/Points of Differentiation Experience with deploying solutions on leading market cloud platforms (e.g. Azure, AWS, Google, IMB, etc.) Conversational AI / Chat Bot based solutions Big data/Analytics Agile Development/DevOps best practices Working with offshore delivery teams

Senior Manager, AI Engineering (People Leader) Overview: 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, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Passion for staying abreast of 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 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: $225,400 - $257,200 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Jose, CA: $245,900 - $280,600 for Sr. Mgr, 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).

Sr. Manager, Platform Engineering, Workday (Workday Security) The Workday Senior Manager, Platform Engineering will be responsible for leading the design, implementation, and maintenance of security and reporting measures to protect Capital One's Workday environment. This role involves working closely with cross-functional teams to ensure the confidentiality, integrity, and availability of Workday applications and data. The Workday Senior Manager will act as a subject matter expert in Workday security and reporting providing strategic guidance and technical expertise. This role will also lead our Workday change management efforts ensuring all changes to the platform follow our standard operating procedures in order to ensure a well managed platform for all users. Key Responsibilities: Security and Reporting Implementation: Lead in the design, implementation, and management of security and Reporting controls for the Workday environment. Ensure security configurations and Reports are robust and effective. Risk Assessment: Lead regular security assessments and SOX audits to identify vulnerabilities and risks within the Workday environment. Collaborate with the risk management team to develop and implement mitigation strategies. Access Management: Lead the Implementation and management of role-based access controls (RBAC) to ensure appropriate access levels for users. Incident Response : Lead in the investigation and response to security incidents related to the Workday environment. Lead in root cause analyses and remediation efforts. Policy Adherence: Ensure compliance with internal security policies and industry best practices. Contribute to the development and maintenance of security policies, procedures, and guidelines. Collaboration: Work closely with IT, HR, Finance and other business units to understand security requirements and integrate security measures into business processes. Provide technical Leadership and guidance to stakeholders. Continuous Improvement: Stay informed about the latest security trends, technologies, and best practices. Proactively suggest and drive improvements to enhance the security and reporting posture of the Workday environment. SOX Compliance: Support SOX audit activities by ensuring Workday security controls are in place and functioning as intended. Prepare documentation and evidence to demonstrate compliance with SOX requirements. Change Management : Manage the ongoing change management process that ensures all changes to the workday platform have the proper documentation, testing evidence, and approvals to move forward. Continuously evaluate opportunities to streamline, improve, and enhance the process. Basic Qualifications: High School Diploma, GED, or equivalent certification At least 8 years of experience with Workday functional configuration (Core HCM, Security, and Reporting) At least 4 years of experience in a technical leadership role overseeing strategic projects Preferred Qualifications: 9+ years of experience in Workday security administration 2+ years of experience configuring SSO with Workday using SAML 2.0 and integrating with enterprise identity providers. Workday Pro Certification in HCM Workday Pro Certification in Security 1+ year of experience with Workday Financials security module 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,000 - $220,300 for Sr. Manager, Platform Engineering Chicago, IL: $175,500 - $200,300 for Sr. Manager, Platform Engineering McLean, VA: $193,000 - $220,300 for Sr. Manager, Platform Engineering New York, NY: $210,500 - $240,300 for Sr. Manager, Platform Engineering Plano, TX: $175,500 - $200,300 for Sr. Manager, Platform Engineering San Francisco, CA: $210,500 - $240,300 for Sr. Manager, Platform Engineering San Jose, CA: $210,500 - $240,300 for Sr. Manager, Platform 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 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

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.

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.

Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward. Springfield MA - Industrial Electrician The Opportunity: We are searching for a skilled Industrial Electrician to maintain, troubleshoot, and repair electrical and mechanical industrial equipment in our corrugated packaging plant in Springfield, MA. The successful candidate will be qualified to troubleshoot and repair both electrical and mechanical components on large scale production machinery, participate in PMs, support continuous improvement initiatives, and adhere to all safety regulations. You will provide resolutions to mechanical and electrical problems on a wide variety of paper and packaging machinery to keep our plant running at peak performance. What We Offer: A career with a Fortune 500 company where Sustainability, Safety and Inclusion are business drivers and foundational elements of your daily work. Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. If you live for machine up time, come join our best-in-class maintenance team! Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. An attractive rate of pay and top-tier benefits, reflecting skills, competencies and potential. The rate for this role is up to $40 an hour. You will work in a collaborative work environment where safety is our priority. How You Will Impact Smurfit Westrock: Focus on maintaining equipment in working order through preventive maintenance and troubleshooting mechanical and electrical failures in a fast-paced environment. Enforce plant safety regulations and encourage employees to become safety conscious. Perform scheduled preventive maintenance on electrical equipment, including motors, motor control centers (MCCs), transformers, switches, and wiring. Diagnose, troubleshoot, and repair electrical faults in complex machinery such as corrugators, printing presses, die cutters, and material handling systems. Troubleshoot and maintain Programmable Logic Controllers (PLCs) (e.g., Allen-Bradley, Siemens) and Human-Machine Interfaces (HMIs). Install, maintain, and calibrate various sensors, transducers, and measuring instruments. Ensure all electrical installations and repairs comply with the National Electrical Code (NEC), local codes, and company standards. Strictly adhere to Lockout/Tagout (LOTO) procedures and other plant safety policies. Maintain and repair high-voltage equipment and control systems. Keep accurate records of all maintenance work performed, parts used, and system documentation. Assist with the installation and commissioning of new production equipment and control systems. Collaborate with mechanical, hydraulic, and pneumatic technicians to resolve complex operational issues. Participate in root cause analysis of failures to implement corrective actions and improve machine reliability. Provide support for mechanical maintenance tasks as needed to ensure production uptime including predictive and preventative maintenance. What You Need to Succeed: Minimum of 3-5 years of experience as an Industrial Electrician, preferably in a manufacturing environment (corrugated, paper, or heavy industry experience is a significant plus). Proven experience working with 480V three-phase systems and various control voltages. Proficiency with electrical test equipment (e.g., multimeters, ammeters, megohmmeters). Expert knowledge of electrical schematics, blueprints, and wiring diagrams. Strong aptitude for troubleshooting and programming PLCs and Variable Frequency Drives (VFDs). Massachusetts Electrical license or the equivalent certification Willingness to work on both mechanical and electrical projects. Excellent safety awareness and commitment to safe work practices. Strong mechanical aptitude and problem-solving skills. Ability to work independently, manage time effectively, and handle emergency repairs under pressure. Excellent communication skills High School Diploma or equivalent required; college degree or technical certification is a plus. Physical Requirements: Ability to stand, walk, climb, and lift up to 50 lbs. regularly. Ability to work in a loud, fast-paced industrial environment, which may include exposure to heat, dust, and chemicals. This role is primarily the first shift; however, the successful candidate must be willing to work shifts, weekends, and on-call as required to support operations. The starting rate is$34-40 per hour based on experience, depending on your role, level, and location. The benefits for this role may include short-term bonus incentive, health, dental and vision insurance, flexible spending accounts or health savings accounts, retirement savings plans, life and disability insurance programs, and paid sick leave as required by applicable state/local law, 10 days of paid vacation will be granted, and 11 days of paid holidays, subject to annual change. Your actual pay will be based on your work location and other factors, such as your skills, experience, and education. To learn more about the specific salary range for your preferred location, please contact your recruiter during the hiring process. You may apply online at and the application window is expected to close by 12/20/25 Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward. Springfield MA - Industrial Electrician The Opportunity: We are searching for a skilled Industrial Electrician to maintain, troubleshoot, and repair electrical and mechanical industrial equipment in our corrugated packaging plant in Springfield, MA. The successful candidate will be qualified to troubleshoot and repair both electrical and mechanical components on large scale production machinery, participate in PMs, support continuous improvement initiatives, and adhere to all safety regulations. You will provide resolutions to mechanical and electrical problems on a wide variety of paper and packaging machinery to keep our plant running at peak performance. What We Offer: A career with a Fortune 500 company where Sustainability, Safety and Inclusion are business drivers and foundational elements of your daily work. Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. If you live for machine up time, come join our best-in-class maintenance team! Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. An attractive rate of pay and top-tier benefits, reflecting skills, competencies and potential. The rate for this role is up to $40 an hour. You will work in a collaborative work environment where safety is our priority. How You Will Impact Smurfit Westrock: Focus on maintaining equipment in working order through preventive maintenance and troubleshooting mechanical and electrical failures in a fast-paced environment. Enforce plant safety regulations and encourage employees to become safety conscious. Perform scheduled preventive maintenance on electrical equipment, including motors, motor control centers (MCCs), transformers, switches, and wiring. Diagnose, troubleshoot, and repair electrical faults in complex machinery such as corrugators, printing presses, die cutters, and material handling systems. Troubleshoot and maintain Programmable Logic Controllers (PLCs) (e.g., Allen-Bradley, Siemens) and Human-Machine Interfaces (HMIs). Install, maintain, and calibrate various sensors, transducers, and measuring instruments. Ensure all electrical installations and repairs comply with the National Electrical Code (NEC), local codes, and company standards. Strictly adhere to Lockout/Tagout (LOTO) procedures and other plant safety policies. Maintain and repair high-voltage equipment and control systems. Keep accurate records of all maintenance work performed, parts used, and system documentation. Assist with the installation and commissioning of new production equipment and control systems. Collaborate with mechanical, hydraulic, and pneumatic technicians to resolve complex operational issues. Participate in root cause analysis of failures to implement corrective actions and improve machine reliability. Provide support for mechanical maintenance tasks as needed to ensure production uptime including predictive and preventative maintenance. What You Need to Succeed: Minimum of 3-5 years of experience as an Industrial Electrician, preferably in a manufacturing environment (corrugated, paper, or heavy industry experience is a significant plus). Proven experience working with 480V three-phase systems and various control voltages. Proficiency with electrical test equipment (e.g., multimeters, ammeters, megohmmeters). Expert knowledge of electrical schematics, blueprints, and wiring diagrams. Strong aptitude for troubleshooting and programming PLCs and Variable Frequency Drives (VFDs). Massachusetts Electrical license or the equivalent certification Willingness to work on both mechanical and electrical projects. Excellent safety awareness and commitment to safe work practices. Strong mechanical aptitude and problem-solving skills. Ability to work independently, manage time effectively, and handle emergency repairs under pressure. Excellent communication skills High School Diploma or equivalent required; college degree or technical certification is a plus. Physical Requirements: Ability to stand, walk, climb, and lift up to 50 lbs. regularly. Ability to work in a loud, fast-paced industrial environment, which may include exposure to heat, dust, and chemicals. This role is primarily the first shift; however, the successful candidate must be willing to work shifts, weekends, and on-call as required to support operations. The starting rate is$34-40 per hour based on experience, depending on your role, level, and location. The benefits for this role may include short-term bonus incentive, health, dental and vision insurance, flexible spending accounts or health savings accounts, retirement savings plans, life and disability insurance programs, and paid sick leave as required by applicable state/local law, 10 days of paid vacation will be granted, and 11 days of paid holidays, subject to annual change. Your actual pay will be based on your work location and other factors, such as your skills, experience, and education. To learn more about the specific salary range for your preferred location, please contact your recruiter during the hiring process. You may apply online at and the application window is expected to close by 12/20/25 Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward. Springfield MA - Industrial Electrician The Opportunity: We are searching for a skilled Industrial Electrician to maintain, troubleshoot, and repair electrical and mechanical industrial equipment in our corrugated packaging plant in Springfield, MA. The successful candidate will be qualified to troubleshoot and repair both electrical and mechanical components on large scale production machinery, participate in PMs, support continuous improvement initiatives, and adhere to all safety regulations. You will provide resolutions to mechanical and electrical problems on a wide variety of paper and packaging machinery to keep our plant running at peak performance. What We Offer: A career with a Fortune 500 company where Sustainability, Safety and Inclusion are business drivers and foundational elements of your daily work. Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. If you live for machine up time, come join our best-in-class maintenance team! Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. An attractive rate of pay and top-tier benefits, reflecting skills, competencies and potential. The rate for this role is up to $40 an hour. You will work in a collaborative work environment where safety is our priority. How You Will Impact Smurfit Westrock: Focus on maintaining equipment in working order through preventive maintenance and troubleshooting mechanical and electrical failures in a fast-paced environment. Enforce plant safety regulations and encourage employees to become safety conscious. Perform scheduled preventive maintenance on electrical equipment, including motors, motor control centers (MCCs), transformers, switches, and wiring. Diagnose, troubleshoot, and repair electrical faults in complex machinery such as corrugators, printing presses, die cutters, and material handling systems. Troubleshoot and maintain Programmable Logic Controllers (PLCs) (e.g., Allen-Bradley, Siemens) and Human-Machine Interfaces (HMIs). Install, maintain, and calibrate various sensors, transducers, and measuring instruments. Ensure all electrical installations and repairs comply with the National Electrical Code (NEC), local codes, and company standards. Strictly adhere to Lockout/Tagout (LOTO) procedures and other plant safety policies. Maintain and repair high-voltage equipment and control systems. Keep accurate records of all maintenance work performed, parts used, and system documentation. Assist with the installation and commissioning of new production equipment and control systems. Collaborate with mechanical, hydraulic, and pneumatic technicians to resolve complex operational issues. Participate in root cause analysis of failures to implement corrective actions and improve machine reliability. Provide support for mechanical maintenance tasks as needed to ensure production uptime including predictive and preventative maintenance. What You Need to Succeed: Minimum of 3-5 years of experience as an Industrial Electrician, preferably in a manufacturing environment (corrugated, paper, or heavy industry experience is a significant plus). Proven experience working with 480V three-phase systems and various control voltages. Proficiency with electrical test equipment (e.g., multimeters, ammeters, megohmmeters). Expert knowledge of electrical schematics, blueprints, and wiring diagrams. Strong aptitude for troubleshooting and programming PLCs and Variable Frequency Drives (VFDs). Massachusetts Electrical license or the equivalent certification Willingness to work on both mechanical and electrical projects. Excellent safety awareness and commitment to safe work practices. Strong mechanical aptitude and problem-solving skills. Ability to work independently, manage time effectively, and handle emergency repairs under pressure. Excellent communication skills High School Diploma or equivalent required; college degree or technical certification is a plus. Physical Requirements: Ability to stand, walk, climb, and lift up to 50 lbs. regularly. Ability to work in a loud, fast-paced industrial environment, which may include exposure to heat, dust, and chemicals. This role is primarily the first shift; however, the successful candidate must be willing to work shifts, weekends, and on-call as required to support operations. The starting rate is$34-40 per hour based on experience, depending on your role, level, and location. The benefits for this role may include short-term bonus incentive, health, dental and vision insurance, flexible spending accounts or health savings accounts, retirement savings plans, life and disability insurance programs, and paid sick leave as required by applicable state/local law, 10 days of paid vacation will be granted, and 11 days of paid holidays, subject to annual change. Your actual pay will be based on your work location and other factors, such as your skills, experience, and education. To learn more about the specific salary range for your preferred location, please contact your recruiter during the hiring process. You may apply online at and the application window is expected to close by 12/20/25 Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward. Springfield MA - Industrial Electrician The Opportunity: We are searching for a skilled Industrial Electrician to maintain, troubleshoot, and repair electrical and mechanical industrial equipment in our corrugated packaging plant in Springfield, MA. The successful candidate will be qualified to troubleshoot and repair both electrical and mechanical components on large scale production machinery, participate in PMs, support continuous improvement initiatives, and adhere to all safety regulations. You will provide resolutions to mechanical and electrical problems on a wide variety of paper and packaging machinery to keep our plant running at peak performance. What We Offer: A career with a Fortune 500 company where Sustainability, Safety and Inclusion are business drivers and foundational elements of your daily work. Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. If you live for machine up time, come join our best-in-class maintenance team! Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. An attractive rate of pay and top-tier benefits, reflecting skills, competencies and potential. The rate for this role is up to $40 an hour. You will work in a collaborative work environment where safety is our priority. How You Will Impact Smurfit Westrock: Focus on maintaining equipment in working order through preventive maintenance and troubleshooting mechanical and electrical failures in a fast-paced environment. Enforce plant safety regulations and encourage employees to become safety conscious. Perform scheduled preventive maintenance on electrical equipment, including motors, motor control centers (MCCs), transformers, switches, and wiring. Diagnose, troubleshoot, and repair electrical faults in complex machinery such as corrugators, printing presses, die cutters, and material handling systems. Troubleshoot and maintain Programmable Logic Controllers (PLCs) (e.g., Allen-Bradley, Siemens) and Human-Machine Interfaces (HMIs). Install, maintain, and calibrate various sensors, transducers, and measuring instruments. Ensure all electrical installations and repairs comply with the National Electrical Code (NEC), local codes, and company standards. Strictly adhere to Lockout/Tagout (LOTO) procedures and other plant safety policies. Maintain and repair high-voltage equipment and control systems. Keep accurate records of all maintenance work performed, parts used, and system documentation. Assist with the installation and commissioning of new production equipment and control systems. Collaborate with mechanical, hydraulic, and pneumatic technicians to resolve complex operational issues. Participate in root cause analysis of failures to implement corrective actions and improve machine reliability. Provide support for mechanical maintenance tasks as needed to ensure production uptime including predictive and preventative maintenance. What You Need to Succeed: Minimum of 3-5 years of experience as an Industrial Electrician, preferably in a manufacturing environment (corrugated, paper, or heavy industry experience is a significant plus). Proven experience working with 480V three-phase systems and various control voltages. Proficiency with electrical test equipment (e.g., multimeters, ammeters, megohmmeters). Expert knowledge of electrical schematics, blueprints, and wiring diagrams. Strong aptitude for troubleshooting and programming PLCs and Variable Frequency Drives (VFDs). Massachusetts Electrical license or the equivalent certification Willingness to work on both mechanical and electrical projects. Excellent safety awareness and commitment to safe work practices. Strong mechanical aptitude and problem-solving skills. Ability to work independently, manage time effectively, and handle emergency repairs under pressure. Excellent communication skills High School Diploma or equivalent required; college degree or technical certification is a plus. Physical Requirements: Ability to stand, walk, climb, and lift up to 50 lbs. regularly. Ability to work in a loud, fast-paced industrial environment, which may include exposure to heat, dust, and chemicals. This role is primarily the first shift; however, the successful candidate must be willing to work shifts, weekends, and on-call as required to support operations. The starting rate is$34-40 per hour based on experience, depending on your role, level, and location. The benefits for this role may include short-term bonus incentive, health, dental and vision insurance, flexible spending accounts or health savings accounts, retirement savings plans, life and disability insurance programs, and paid sick leave as required by applicable state/local law, 10 days of paid vacation will be granted, and 11 days of paid holidays, subject to annual change. Your actual pay will be based on your work location and other factors, such as your skills, experience, and education. To learn more about the specific salary range for your preferred location, please contact your recruiter during the hiring process. You may apply online at and the application window is expected to close by 12/20/25 Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward. Springfield MA - Industrial Electrician The Opportunity: We are searching for a skilled Industrial Electrician to maintain, troubleshoot, and repair electrical and mechanical industrial equipment in our corrugated packaging plant in Springfield, MA. The successful candidate will be qualified to troubleshoot and repair both electrical and mechanical components on large scale production machinery, participate in PMs, support continuous improvement initiatives, and adhere to all safety regulations. You will provide resolutions to mechanical and electrical problems on a wide variety of paper and packaging machinery to keep our plant running at peak performance. What We Offer: A career with a Fortune 500 company where Sustainability, Safety and Inclusion are business drivers and foundational elements of your daily work. Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. If you live for machine up time, come join our best-in-class maintenance team! Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. An attractive rate of pay and top-tier benefits, reflecting skills, competencies and potential. The rate for this role is up to $40 an hour. You will work in a collaborative work environment where safety is our priority. How You Will Impact Smurfit Westrock: Focus on maintaining equipment in working order through preventive maintenance and troubleshooting mechanical and electrical failures in a fast-paced environment. Enforce plant safety regulations and encourage employees to become safety conscious. Perform scheduled preventive maintenance on electrical equipment, including motors, motor control centers (MCCs), transformers, switches, and wiring. Diagnose, troubleshoot, and repair electrical faults in complex machinery such as corrugators, printing presses, die cutters, and material handling systems. Troubleshoot and maintain Programmable Logic Controllers (PLCs) (e.g., Allen-Bradley, Siemens) and Human-Machine Interfaces (HMIs). Install, maintain, and calibrate various sensors, transducers, and measuring instruments. Ensure all electrical installations and repairs comply with the National Electrical Code (NEC), local codes, and company standards. Strictly adhere to Lockout/Tagout (LOTO) procedures and other plant safety policies. Maintain and repair high-voltage equipment and control systems. Keep accurate records of all maintenance work performed, parts used, and system documentation. Assist with the installation and commissioning of new production equipment and control systems. Collaborate with mechanical, hydraulic, and pneumatic technicians to resolve complex operational issues. Participate in root cause analysis of failures to implement corrective actions and improve machine reliability. Provide support for mechanical maintenance tasks as needed to ensure production uptime including predictive and preventative maintenance. What You Need to Succeed: Minimum of 3-5 years of experience as an Industrial Electrician, preferably in a manufacturing environment (corrugated, paper, or heavy industry experience is a significant plus). Proven experience working with 480V three-phase systems and various control voltages. Proficiency with electrical test equipment (e.g., multimeters, ammeters, megohmmeters). Expert knowledge of electrical schematics, blueprints, and wiring diagrams. Strong aptitude for troubleshooting and programming PLCs and Variable Frequency Drives (VFDs). Massachusetts Electrical license or the equivalent certification Willingness to work on both mechanical and electrical projects. Excellent safety awareness and commitment to safe work practices. Strong mechanical aptitude and problem-solving skills. Ability to work independently, manage time effectively, and handle emergency repairs under pressure. Excellent communication skills High School Diploma or equivalent required; college degree or technical certification is a plus. Physical Requirements: Ability to stand, walk, climb, and lift up to 50 lbs. regularly. Ability to work in a loud, fast-paced industrial environment, which may include exposure to heat, dust, and chemicals. This role is primarily the first shift; however, the successful candidate must be willing to work shifts, weekends, and on-call as required to support operations. The starting rate is$34-40 per hour based on experience, depending on your role, level, and location. The benefits for this role may include short-term bonus incentive, health, dental and vision insurance, flexible spending accounts or health savings accounts, retirement savings plans, life and disability insurance programs, and paid sick leave as required by applicable state/local law, 10 days of paid vacation will be granted, and 11 days of paid holidays, subject to annual change. Your actual pay will be based on your work location and other factors, such as your skills, experience, and education. To learn more about the specific salary range for your preferred location, please contact your recruiter during the hiring process. You may apply online at and the application window is expected to close by 12/20/25 Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward. Springfield MA - Industrial Electrician The Opportunity: We are searching for a skilled Industrial Electrician to maintain, troubleshoot, and repair electrical and mechanical industrial equipment in our corrugated packaging plant in Springfield, MA. The successful candidate will be qualified to troubleshoot and repair both electrical and mechanical components on large scale production machinery, participate in PMs, support continuous improvement initiatives, and adhere to all safety regulations. You will provide resolutions to mechanical and electrical problems on a wide variety of paper and packaging machinery to keep our plant running at peak performance. What We Offer: A career with a Fortune 500 company where Sustainability, Safety and Inclusion are business drivers and foundational elements of your daily work. Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. If you live for machine up time, come join our best-in-class maintenance team! Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. An attractive rate of pay and top-tier benefits, reflecting skills, competencies and potential. The rate for this role is up to $40 an hour. You will work in a collaborative work environment where safety is our priority. How You Will Impact Smurfit Westrock: Focus on maintaining equipment in working order through preventive maintenance and troubleshooting mechanical and electrical failures in a fast-paced environment. Enforce plant safety regulations and encourage employees to become safety conscious. Perform scheduled preventive maintenance on electrical equipment, including motors, motor control centers (MCCs), transformers, switches, and wiring. Diagnose, troubleshoot, and repair electrical faults in complex machinery such as corrugators, printing presses, die cutters, and material handling systems. Troubleshoot and maintain Programmable Logic Controllers (PLCs) (e.g., Allen-Bradley, Siemens) and Human-Machine Interfaces (HMIs). Install, maintain, and calibrate various sensors, transducers, and measuring instruments. Ensure all electrical installations and repairs comply with the National Electrical Code (NEC), local codes, and company standards. Strictly adhere to Lockout/Tagout (LOTO) procedures and other plant safety policies. Maintain and repair high-voltage equipment and control systems. Keep accurate records of all maintenance work performed, parts used, and system documentation. Assist with the installation and commissioning of new production equipment and control systems. Collaborate with mechanical, hydraulic, and pneumatic technicians to resolve complex operational issues. Participate in root cause analysis of failures to implement corrective actions and improve machine reliability. Provide support for mechanical maintenance tasks as needed to ensure production uptime including predictive and preventative maintenance. What You Need to Succeed: Minimum of 3-5 years of experience as an Industrial Electrician, preferably in a manufacturing environment (corrugated, paper, or heavy industry experience is a significant plus). Proven experience working with 480V three-phase systems and various control voltages. Proficiency with electrical test equipment (e.g., multimeters, ammeters, megohmmeters). Expert knowledge of electrical schematics, blueprints, and wiring diagrams. Strong aptitude for troubleshooting and programming PLCs and Variable Frequency Drives (VFDs). Massachusetts Electrical license or the equivalent certification Willingness to work on both mechanical and electrical projects. Excellent safety awareness and commitment to safe work practices. Strong mechanical aptitude and problem-solving skills. Ability to work independently, manage time effectively, and handle emergency repairs under pressure. Excellent communication skills High School Diploma or equivalent required; college degree or technical certification is a plus. Physical Requirements: Ability to stand, walk, climb, and lift up to 50 lbs. regularly. Ability to work in a loud, fast-paced industrial environment, which may include exposure to heat, dust, and chemicals. This role is primarily the first shift; however, the successful candidate must be willing to work shifts, weekends, and on-call as required to support operations. The starting rate is$34-40 per hour based on experience, depending on your role, level, and location. The benefits for this role may include short-term bonus incentive, health, dental and vision insurance, flexible spending accounts or health savings accounts, retirement savings plans, life and disability insurance programs, and paid sick leave as required by applicable state/local law, 10 days of paid vacation will be granted, and 11 days of paid holidays, subject to annual change. Your actual pay will be based on your work location and other factors, such as your skills, experience, and education. To learn more about the specific salary range for your preferred location, please contact your recruiter during the hiring process. You may apply online at and the application window is expected to close by 12/20/25 Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward. Springfield MA - Industrial Electrician The Opportunity: We are searching for a skilled Industrial Electrician to maintain, troubleshoot, and repair electrical and mechanical industrial equipment in our corrugated packaging plant in Springfield, MA. The successful candidate will be qualified to troubleshoot and repair both electrical and mechanical components on large scale production machinery, participate in PMs, support continuous improvement initiatives, and adhere to all safety regulations. You will provide resolutions to mechanical and electrical problems on a wide variety of paper and packaging machinery to keep our plant running at peak performance. What We Offer: A career with a Fortune 500 company where Sustainability, Safety and Inclusion are business drivers and foundational elements of your daily work. Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. If you live for machine up time, come join our best-in-class maintenance team! Opportunities to advance and learn alongside accomplished leaders in the Corrugated Packaging industry. An attractive rate of pay and top-tier benefits, reflecting skills, competencies and potential. The rate for this role is up to $40 an hour. You will work in a collaborative work environment where safety is our priority. How You Will Impact Smurfit Westrock: Focus on maintaining equipment in working order through preventive maintenance and troubleshooting mechanical and electrical failures in a fast-paced environment. Enforce plant safety regulations and encourage employees to become safety conscious. Perform scheduled preventive maintenance on electrical equipment, including motors, motor control centers (MCCs), transformers, switches, and wiring. Diagnose, troubleshoot, and repair electrical faults in complex machinery such as corrugators, printing presses, die cutters, and material handling systems. Troubleshoot and maintain Programmable Logic Controllers (PLCs) (e.g., Allen-Bradley, Siemens) and Human-Machine Interfaces (HMIs). Install, maintain, and calibrate various sensors, transducers, and measuring instruments. Ensure all electrical installations and repairs comply with the National Electrical Code (NEC), local codes, and company standards. Strictly adhere to Lockout/Tagout (LOTO) procedures and other plant safety policies. Maintain and repair high-voltage equipment and control systems. Keep accurate records of all maintenance work performed, parts used, and system documentation. Assist with the installation and commissioning of new production equipment and control systems. Collaborate with mechanical, hydraulic, and pneumatic technicians to resolve complex operational issues. Participate in root cause analysis of failures to implement corrective actions and improve machine reliability. Provide support for mechanical maintenance tasks as needed to ensure production uptime including predictive and preventative maintenance. What You Need to Succeed: Minimum of 3-5 years of experience as an Industrial Electrician, preferably in a manufacturing environment (corrugated, paper, or heavy industry experience is a significant plus). Proven experience working with 480V three-phase systems and various control voltages. Proficiency with electrical test equipment (e.g., multimeters, ammeters, megohmmeters). Expert knowledge of electrical schematics, blueprints, and wiring diagrams. Strong aptitude for troubleshooting and programming PLCs and Variable Frequency Drives (VFDs). Massachusetts Electrical license or the equivalent certification Willingness to work on both mechanical and electrical projects. Excellent safety awareness and commitment to safe work practices. Strong mechanical aptitude and problem-solving skills. Ability to work independently, manage time effectively, and handle emergency repairs under pressure. Excellent communication skills High School Diploma or equivalent required; college degree or technical certification is a plus. Physical Requirements: Ability to stand, walk, climb, and lift up to 50 lbs. regularly. Ability to work in a loud, fast-paced industrial environment, which may include exposure to heat, dust, and chemicals. This role is primarily the first shift; however, the successful candidate must be willing to work shifts, weekends, and on-call as required to support operations. The starting rate is$34-40 per hour based on experience, depending on your role, level, and location. The benefits for this role may include short-term bonus incentive, health, dental and vision insurance, flexible spending accounts or health savings accounts, retirement savings plans, life and disability insurance programs, and paid sick leave as required by applicable state/local law, 10 days of paid vacation will be granted, and 11 days of paid holidays, subject to annual change. Your actual pay will be based on your work location and other factors, such as your skills, experience, and education. To learn more about the specific salary range for your preferred location, please contact your recruiter during the hiring process. You may apply online at and the application window is expected to close by 12/20/25 Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.