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Lead AI Engineer (AI Foundations, Python) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (LLM Core) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 AI Engineer 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 8 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 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 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: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer Richmond, VA: $239,900 - $273,800 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Software Engineering, Full Stack We are seeking a talented Senior Manager people leader to provide technical leadership and guidance in support of building out and scaling GraphQL as a platform for the Enterprise. This is a high impact role is for a technologist who can not only help design and implement scalable and performant GraphQL solutions but also help guide strategy, mentor the team, and streamline development practices. You will be a key player in shaping our technical roadmap, elevating our engineering talent, and fostering a culture of efficiency and quality. What You’ll Do: * Technical Leadership: Guide the team on the technical vision and strategy for GraphQL, including schema design, API governance, performance, and security as well as guide the use of Graph in AI. * Architectural Guidance: Lead the design and implementation of complex GraphQL systems, ensuring they are scalable and reliable. You'll provide expert architectural guidance to your team and others. * Cross LOB Influence: Work with teams across the enterprise to develop solutions to meet their evolving needs and collaborate closely with partners in Card to build supporting platforms. * Mentorship & Collaboration: Act as a technical expert and mentor, helping to guide engineers, improve their skills, and deliver high-quality solutions. * Cross-Functional Partnership: Partner closely with product managers and designers to translate business needs into technical solutions and align on project goals. * Innovation & Research: Stay current with cutting edge industry trends and best practices in GraphQL, supporting AI using Graph and MCP, streamline developer experience. Evaluate and recommend new tools / approaches to enhance our capabilities. * Problem Solving: Tackle complex technical challenges, providing hands-on expertise to resolve critical issues and keep development on track. * Quality & Standards: Help establish and enforce high standards for code quality, testing, and operational excellence within our GraphQL services and Agile workflows. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master’s Degree * 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, Angular or Go * 3+years of experience with GraphQL * 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 7+ years of people management experience * 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Mgr, Software Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Enterprise Sales Development Representative - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We’re looking for a highly skilled Sales Development Representative who thrives in account-based, enterprise SaaS selling environments. You’ll be the tip of the spear in our GTM motion - strategically identifying and engaging high-value target accounts, building multi-threaded relationships, and driving the first conversations that lead to transformative customer wins. If you’re a strategic prospector, relationship builder, and opportunity creator who loves working with top-tier accounts and shaping the first steps of a complex sales cycle, this role is for you! This isn’t high-volume, spray-and-pray prospecting. You’ll operate with precision - partnering closely with Account Executives, Enablement, and Sales Operations to open doors with the right personas at the right time, in accounts where our solutions can make the biggest impact. * Partner with Account Executives to execute account-specific engagement plans for managed accounts. * Conduct deep research to identify key personas, account structures, and potential pain points. * Craft personalized, persona-specific messaging across email, LinkedIn, and phone channels. * Engage decision-makers and influencers in technical and business roles (e.g., platform owners, cloud engineers, FinOps leads). * Qualify opportunities and hand off to AEs with full context for a seamless sales process. * Track and measure outreach effectiveness in Salesforce and Groove, maintaining complete and accurate account data. * Collaborate with the Enablement team to refine messaging, objection handling, and competitive positioning. * Meet and exceed KPIs for opportunity creation, whitespace coverage, Opportunity:POV, and POV:Close conversion. * Provide feedback from the field to inform product positioning and marketing campaigns. Basic Qualifications: * At least 3 years of experience in a BDR, SDR, Account Development, or Full Cycle Hunter role * At least 3 years of experience with account-based prospecting for solutions with an Annual Contract Value (ACV) of $100,000 or greater * At least 3 years of experience engaging technical and business stakeholders in sales cycles * At least 3 years of experience managing multiple account strategies simultaneously * At least 3 years of experience with sequencing tools such as: Salesforce, Groove, LinkedIn Sales Navigator, ZoomInfo, or Gong Preferred Qualifications: * 5+ years experience in enterprise prospecting, account management, or inside sales * Experience in Enterprise SaaS * Experience in data, analytics, cloud, or AI ecosystem - such as: Snowflake or Databricks * Experience prospecting into highly regulated industries (for example: Financial Services or Healthcare) * Demonstrated ability to collaborate with Account Executives in strategic account planning * Demonstrated ability to consistently meet or exceed KPIs for pipeline creation and conversion * Strong written and verbal communication skills, with a knack for tailoring messages to the audience * Demonstrated ability to maintain precision and quality when executing multiple account strategies At this time, Capital One will not sponsor a new 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): $106,700 - $121,700 for Principal Associate, SaaS Sales McLean, VA: $117,300 - $133,900 for Principal Associate, SaaS Sales Plano, TX: $106,700 - $121,700 for Principal Associate, SaaS Sales Richmond, VA: $106,700 - $121,700 for Principal Associate, SaaS Sales San Francisco, CA: $128,000 - $146,100 for Principal Associate, SaaS Sales 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 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. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 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. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 AI Engineer (Agentic AI Platform Infrastructure) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 8 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 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 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 * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning * 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 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 AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Platform Engineer, Workday Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that’s leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One’s Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Work with product owners to understand desired application capabilities and testing scenarios * Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the business * Deliver solutions in Workday Recruiting, through efficient and organized processes while maintaining high standards * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. * Continually research, test and stay up-to-date on Workday updates, fixes and capabilities * Build & maintain thorough documentation for system implementation * Primary contact for questions related to how the system works from a business and a technical perspective * Provide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issues Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years of experience with Workday functional configuration tasks (Recruiting, HCM) * At least 2 years of experience configuring business processes within the Workday platform * At least 1 year of experience with calculated fields or custom reports Preferred Qualifications: * Bachelor's degree * 5+ years of experience with Workday functional configuration (Recruiting, HCM) * 2+ years of experience with Workday Integrations * Experience working in an agile delivery environment * Workday or Workday Pro certifications (HCM, Recruiting) * 2+ years of experience with Workday Security or Workday Reporting * 1+ years of experience loading HCM data into Workday using existing Enterprise Interface Builders (EIB’s) 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, or another type of work authorization). 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: $127,500 - $145,500 for Senior Platform Engineer Chicago, IL: $115,900 - $132,200 for Senior Platform Engineer McLean, VA: $127,500 - $145,500 for Senior Platform Engineer New York, NY: $139,100 - $158,700 for Senior Platform Engineer Plano, TX: $115,900 - $132,200 for Senior Platform Engineer Richmond, VA: $115,900 - $132,200 for Senior Platform 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Solutions Architecture, Data Security Pre-sales- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Pre-Sales Solutions Architect, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Key Areas of Focus for Solutions Architects: * Trusted Advisor: We are the front line for our customer’s tech, product, and cyber needs as well as for solutioning product specific improvements. * Customer Ambassador: We represent the voice of the customer and the customer needs in internal discussions and working groups. * Demonstrate Value: We focus on identifying the best solutions that bring value to our customers. * Thought Leadership: We use research and customer solutioning experiences to build and share thought leadership both internally and externally. * Subject Matter Experts: We focus on gaining deep understanding of our products and deep subject matter expertise across technology domains in order to best advise our customers, solve complex problems and identify areas of improvement for our products. * Pre-Sales & Post-Sales: We are focused on serving our customers predominantly in the Pre-Sales stages, as we determine how to best implement our products for their needs and also solve for any unique requests. We also focus on the Post-Sales stages, for those instances where customers will require solutions that were not part of their original product deployment. * Solution Oriented: We focus on finding solutions to address every customer problem and need using every tool, skillset and creativity at our disposal. * Channel Partnership: We collaborate with Partner Sales Engineers and Partner Sellers on joint customer strategies and joint value props, as applicable for different products. Key Responsibilities for This Role: * Cultivates trust and builds relationships with customers by identifying, documenting, and measuring pain points and desired business outcomes. * Effectively advocates and represents the voice of customers to influence organizational objectives, product roadmaps and to improve the overall customer experience. * Manages relevant customer activity, identifies risk and growth opportunities, and partners with internal teams to mitigate risks or close opportunities. * Builds and manages key processes including product fit and tech fit discoveries, customer technical win, customer FAQs, customer objections, customer feedback, customer tech research, etc.. * Serves as a knowledge resource and escalation point for coworkers and customers. * Autonomously works through complex situations and ambiguous environments by building mechanisms and solutions to close gaps and grow the business. * Leads cross-functionally to achieve organizational objectives, including the attainment of targets for customer solution needs, product fit, product growth and evolvement. * Leads high customer satisfaction through the use of data and proactive solutions. * Productively challenges the status quo with clarity, identifying and proposing different approaches and solutions. * Conducts periodic check-ins with customers to ensure product fit and to align on ways to drive more value together through technical solutioning. * Develops and maintains technical support procedures and policies. * Builds credibility and trust within the team and with our business customers and stakeholders. * Drives architecture/design reviews for our customers focused on business requirements, and as needed, designs, plans and manages architectural projects. * Analyzes, defines and documents requirements for data, workflow, logical processes, hardware and operating system environment to support customer needs. * Works with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs. * Stays current with new technology options and products, evaluating which ones would be a good fit for the customer or even a good fit for Capital One to develop. Basic Qualifications: * Bachelor’s degree or Military experience * At least 4 years of experience with design, implementation, or consulting experience of distributed applications * At least 3 years of experience in infrastructure architecture, database architecture and Data Security * At least 3 years of experience with cloud platforms (such as: AWS,GCP, Azure) Preferred Qualifications: * Master’s Degree in Computer Science, Engineering, or Information Technology * Demonstrated working knowledge of Kubernetes * Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers * High level of comfort communicating effectively across internal and external organizations * Ability to understand API design and integration * Demonstrated ability to adapt to new technologies and learn quickly * Experience working within software development or Internet-related industries * History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises * Ability to understand B2B sales process and client relationship management * Ability to understand security frameworks (for example: NIST, ISO) * Ability to understand cryptography and data encryption methodologies * Demonstrated ability to understand tokenization and data security technologies At this time, Capital One will not sponsor a new 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): $204,900 - $233,800 for Sr. Manager, Solutions Architecture Richmond, VA: $204,900 - $233,800 for Sr. Manager, Solutions Architecture 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations, LLM Core) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Platform Engineer, Workday (Payroll) Job Description: Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that’s leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One’s Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Work with product owners to understand desired application capabilities and testing scenarios * Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the business * Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. * Continually research, test and stay up-to-date on Workday updates, fixes and capabilities * Build & maintain thorough documentation for system implementation * Primary contact for questions related to how the system works from a business and a technical perspective * Provide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issues Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years of experience with Workday functional configuration tasks, including HCM, Payroll, Benefits, Compensation, Time Tracking, and Performance Management * At least 2 years of experience configuring business processes within the Workday platform * At least 1 years of experience with calculated fields or custom reports Preferred Qualifications: * Bachelor's degree * 5+ years of experience with Workday functional configuration * Experience working in an agile delivery environment * Workday or Workday Pro certifications (HCM, Payroll, Benefits, Compensation, Time Tracking, Performance Management) * 2+ years of experience with Workday Security or Workday Reporting * 1+ year of experience loading HCM data into Workday using existing Enterprise Interface Builders (EIB’s) 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: $127,500 - $145,500 for Senior Platform Engineer Chicago, IL: $115,900 - $132,200 for Senior Platform Engineer McLean, VA: $127,500 - $145,500 for Senior Platform Engineer New York, NY: $139,100 - $158,700 for Senior Platform Engineer Plano, TX: $115,900 - $132,200 for Senior Platform Engineer Richmond, VA: $115,900 - $132,200 for Senior Platform Engineer San Francisco, CA: $139,100 - $158,700 for Senior Platform Engineer Wilmington, DE: $115,900 - $132,200 for Senior Platform 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 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. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead Machine Learning Engineer - ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. 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 customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. * Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. * Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. * Fine-tune, develop and evaluate machine learning and foundation models, * Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities * Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. * Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. * Retrain, maintain, and monitor models in production. * Construct optimized data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable 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. * You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Go, Scala, or Java * At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: * Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * 6 years of experience designing, developing, delivering, and supporting AI services at scale * 3 years of experience developing AI and ML algorithms or technologies using Python * 2 years of experience with Retrieval Augmented Generation (RAG) * Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

SaaS Sales Representative - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital SaaS Sales Representative , you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Who we are searching for: Capital One Software is looking for a tenacious and talented Software Sales Professional to join our newly established Business Development Team. In this SaaS startup-type (B2B) environment, you will effectively seek and manage new business opportunities. You will also be leaned on to provide consulting and guidance to our collective Capital One Software Teams and participate in important projects that dramatically enhance the customer experience. Due to the entrepreneurial spirit required to thrive in this role, you will be intelligent about market trends and leverage sales techniques that enable us to be a best-in-class business development shop. Roles and Responsibilities * Leverage customer insights, competitor insights, analytics and creative thinking to help your team develop compelling deck materials to support meetings and pitches with prospective partners. * Identify any potential impediments to the business development process and autonomously solve or escalate to senior leaders if necessary. * Utilize various forms for communication including, but not limited to email, phone, direct mail, and Linkedin channels to prospect/set presentations with potential clients. * Create testing, evaluation and performance feedback processes * Provide ongoing consumer research expertise and consultation to internal partners and senior leaders in support of marketing strategy decisions. * Lead research design, execution and delivery of insights utilizing a variety of brand measurement sources, including brand health and communications trackers, creative pre-testing, in-market advertising and media effectiveness studies, and ad-hoc custom qualitative and quantitative studies. Proactively engaging in outbound activity leveraging best of breed software and tactics to effectively target ideal customers * Track and manage sales activities in CRM system * Communicating customer needs with software developers, managers and executives * Submitting orders for sales processing * Negotiating service agreements and product prices with customers * Discussing software needs with customers to determine the best-matched products * Advising customers on technical matters regarding their software options Business Growth: Develop thorough understanding of partner’s business dynamics and identify opportunities to strengthen the strategic relationship with customers to mutually grow our respective businesses, deliver improved customer experience, and position Capital One Software as the partner of choice for future opportunities. Influence senior leaders on storytelling approach and value proposition/marketing recommendations. Partnership: Evaluate industry trends, technological shifts and market dynamics to identify and engage the right partners to advance the development of Capital One Software projects, programs and products that positively impact the customer experience. Collaboration: Work closely with colleagues across Capital One Software including: Product, Engineering, Marketing, Operations, Finance, Customer Success and others to identify opportunities to drive improvement in quality, volume, service, and profitability. Strategic leadership: Develop business strategies that will drive growth, profitability, and competitive success for Capital One Software in the face of shifting consumer and regulatory behavior. Basic Qualifications: * High School Diploma, GED or equivalent certification * At least 2 years of experience in business development using a CRM * At least 2 years of experience with Enterprise SaaS Sales Preferred Qualifications: * 1+ year of Salesforce, Databricks, or other cloud-related technology sales platform * 5+ years of experience in business development using a CRM * 2+ years of experience in AWS, Azure, GCP, or Snowflake * 3+ years of experience with Enterprise SaaS Sales * Ability to influence, take initiative, and drive results in a fast-paced environment At this time, Capital One will not sponsor a new 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): $165,000 - $165,000 for Sr. Manager, SaaS Sales Richmond, VA: $165,000 - $165,000 for Sr. Manager, SaaS Sales San Francisco, CA: $165,000 - $165,000 for Sr. Manager, SaaS Sales 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (AI Foundations, LLM Core) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, AI Engineering (People Leader) (GenAI Platform Services) 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. Sales Territory: $204,900 - $233,800 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 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Risk Advisor, Technology and Data Risk Management Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, software quality, and data management. Technology & Data Risk Management (TDRM) is a small organization that packs a big punch. The ~200 professionals in TDRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk, and data management risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. For years, the cybersecurity community has debated whether the CISO should report to the CIO or not. In regulated financial services, the answer is: both. The first-line CISO has operational responsibilities and reports to the CIO. The second-line Chief Tech Risk Officer (CTRO) and the Tech & Data Risk Management (TRM) organization have broader responsibilities for cybersecurity but also reliability, software quality, resilience, and the risk of failing to manage our data. The CTRO is independent and oversees the work of the CISO, the CIO/CTO, and the Chief Data Officer. The CTRO reports to the Chief Risk Officer, who reports directly to the CEO. Our business leaders must make technology decisions constantly. TDRM makes sure they have the tech and data risk information they need to make good decisions. Associates within TDRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, data analyst, data scientist, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. This position – Senior Manager, Cyber Risk and Analysis – will play a key role in shaping the second line’s independent point of view on cybersecurity, reliability, and tech risk, and analyzing the outcomes of the first line’s analysis to enable robust challenge across assessments. This includes leading independent risk analysis workshops, applying quantitative and qualitative risk assessment methodologies, understanding the stack of controls, identifying new approaches to reducing risk, systematically reviewing, analyzing, aggregating and comparing outputs of different assessments, and influencing 1st Line to drive definition and prioritization of high leverage risk reduction initiatives. It will be critical for this role to provide expert guidance and mentorship across TRM, foster strong working relationships with other 1st and 2nd Line groups, and expertly navigate the Enterprise Risk Management framework. As a member of a growing organization, you are expected to shape and further refine the risk program, and will have the opportunity to operate with both autonomy and empowerment from senior leadership. The successful candidate will be a seasoned leader with strong practical knowledge of risk frameworks and risk assessment methodologies applied to technology/cyber risk, who can think strategically and make data-driven decisions, who is intellectually curious, and who thrives driving change. Desired Outcomes: * Review and challenge first line periodic and change-driven risk assessments, including risk sizing, control suite adequacy and mitigation plan relevance * Prepare executive reports summarizing TDRM’s point of view on technology risks * Research industry trends and internal data to substantiate risk management decisions and make recommendations * Scope and facilitate cross-functional risk workshops and document the conclusions to influence 1st line’s risk framing * Foster a collaborative relationship with stakeholders across 1st and 2nd line * Develop and implement plans to orchestrate the operational rollout of risk methodology changes Ideal Candidate: * Positively contributes to an inclusive and accountable team culture * Critical analytical thinker, including the ability to express a point of view supported by data (with both technical and non-technical audiences) * Excellent communication and teaching skills, proven record teaching complex concepts to large audiences. Strong influencing and persuasion skills * Raises concerns early and knows when to escalate, including the ability to raise issues and facilitate constructive problem-solving at all levels of the organization * Passion and expertise in technology and cybersecurity domains, with an ability to be confident, respectful, and articulate when registering dissenting or unpopular opinions * Ability to manage multiple parallel initiatives while maintaining superior results * Execution oriented and a self-motivator * Personal resilience - the ability to stay optimistic and keep people focused during crises or times of change Basic Qualifications: * Bachelor’s degree or military experience * At least 6 years of experience managing, consulting, or auditing in the fields of risk management, information security or technology * At least 5 years of experience performing or challenging risk assessments leveraging qualitative and quantitative methodologies (COSO Framework, quantitative analysis, Factor Analysis Information Risk (FAIR), Process, Risk & Control (PRC) library, Risk and Control Self Assessment (RCSA), scenario analysis, new initiative risk assessments) * Professional security management certification (Open FAIR, Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Information Systems Auditor (CISA), or Certified in Risk and Information Systems Control (CRISC)) Preferred Qualifications: * Master’s degree in Information Technology, Cybersecurity, or equivalent * 5+ years of experience communicating and presenting data to both technical and non-technical audiences * 5+ years of experience applying risk quantification methodologies and rolling out risk framework changes * 4+ years of experience interacting with different stakeholders and leaders across multiple organizations * 4+ years of experience in a second-line or oversight role at a financial institution or regulatory agency At this time, Capital One will not sponsor a new 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. Chicago, IL: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis McLean, VA: $193,000 - $220,300 for Sr. Manager, Cyber Risk & Analysis New York, NY: $210,500 - $240,300 for Sr. Manager, Cyber Risk & Analysis Plano, TX: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis Richmond, VA: $175,500 - $200,300 for Sr. Manager, Cyber Risk & Analysis 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (GenAI Platform Services, Python) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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, Technical Program Management Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About Capital One - At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank, but we don’t think like one. We’re always thinking about what’s next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That’s where you come in. About the team - We are seeking an exceptional Technical Program Manager (TPM) to drive programs at the intersection of Generative AI research and production-scale deployment. This role will focus on multi-agent conversational systems, agentic AI architectures, inference optimization, and model pretraining/finetuning workflows. You will collaborate closely with world-class researchers, engineers, and cross-functional stakeholders to take cutting-edge AI models from concept to production, while ensuring alignment with risk, compliance, and business objectives. Responsibilities: * Program Leadership: Own end-to-end execution of complex AI initiatives, from research collaboration to production launch. * Multi-Agent Conversational Systems: Drive development and orchestration of agentic AI chatbots and intelligent assistants, enabling scalable, context-aware multi-agent interactions. * Model Development & Optimization: Partner with researchers to manage pretraining, finetuning, and inference optimization efforts, ensuring performance and efficiency at scale. * Risk & Compliance: Collaborate with risk, security, and compliance teams to identify and mitigate risks associated with generative AI, including fairness, transparency, and responsible use. * Cross-Functional Alignment: Act as the connective tissue between researchers, engineers, product teams, and executives — ensuring clarity, communication, and measurable outcomes. * Operational Excellence: Establish frameworks for experimentation, evaluation, and deployment of generative AI models. Track milestones, dependencies, and delivery. * Innovation & Research Translation: Translate cutting-edge academic research into practical applications and drive adoption into production environments. Basic Qualifications: * At least 7 years of experience in technical program management * Bachelor's degree Preferred Qualifications: * 7+ years of experience designing and building data-intensive solutions using distributed computing * 3+ years of experience in building distributed systems & highly available services using cloud computing services or architecture - preferably using AWS * 3+ years experience building highly scalable mobile products & platforms * 3+ years of experience with Agile delivery * 3+ years years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact * Experience in building systems & solutions within a highly regulated environment * Bachelor's degree in a related technical field (Computer Science, Software Engineering) * MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) 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, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $226,000 - $257,900 for Director, Technical Program Management New York, NY: $246,500 - $281,300 for Director, Technical Program Management San Francisco, CA: $246,500 - $281,300 for Director, Technical Program Management San Jose, CA: $246,500 - $281,300 for Director, Technical Program Management 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 1 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (FM Hosting, LLM Inference) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage 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. 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 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Platform Engineer, Workday (Workday Studio) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that’s leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One’s Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Work with product owners to understand desired application capabilities and testing scenarios * Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the business * Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. * Continually research, test and stay up-to-date on Workday updates, fixes and capabilities * Build & maintain thorough documentation for system implementation * Primary contact for questions related to how the system works from a business and a technical perspective * Provide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issues Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years experience in platform engineering on HR platforms (Workday, Peoplesoft, or Successfactors) * At least 2 years of experience designing and developing integration solutions * At least 2 years of experience working with APIs within the Workday environment using REST or SOAP Preferred Qualifications: * Bachelor's Degree * 5+ years of experience working with Workday Human Resources modules including HCM, Payroll, Benefits, Recruiting or Talent and Performance Management * 3+ years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutions * 3+ years of experience working with APIs within the Workday environment using REST or SOAP * Workday Integration Developer certifications * 1+ years designing and developing solutions using Workday Extend * 1+ years of experience with AWS, GCP, Microsoft Azure or another cloud service * 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, or another type of work authorization). 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: $127,500 - $145,500 for Senior Platform Engineer Chicago, IL: $115,900 - $132,200 for Senior Platform Engineer McLean, VA: $127,500 - $145,500 for Senior Platform Engineer New York, NY: $139,100 - $158,700 for Senior Platform Engineer Plano, TX: $115,900 - $132,200 for Senior Platform Engineer Richmond, VA: $115,900 - $132,200 for Senior Platform Engineer San Francisco, CA: $139,100 - $158,700 for Senior Platform Engineer San Jose, CA: $139,100 - $158,700 for Senior Platform 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 DescriptionSalary: $80,000-$100,000 WHY PRESCIENT? Prescient is a global risk management and intelligence services firm. Our Due Diligence, Investigations, Cyber, and Intelligence Practices help Fortune 500 companies, law firms, and financial institutions mitigate risk and uncover mission-critical information. Headquartered in Chicago, IL with offices in Arlington, VA; New York, NY; Los Angeles, CA; and Dublin, Ireland, Prescients team of former military personnel, intelligence officers, law enforcement agents, and corporate investigators is proficient in multiple foreign languages and has decades of experience conducting due diligence, corporate investigations, and intelligence collection operations in over 110 countries. We provide stakeholders with actionable information to address challenges related to compliance, investments, physical & cyber security, and litigation, among others. POSITION SUMMARY Prescient will consider candidates for its various office locations. Prescients cyber practice helps enterprise, law firm, financial services, and private clients manage their cyber risk and uncover critical intelligence from the open, deep, and dark web using state-of-the-art technology. Our Executive Digital Protection (EDP) program is one of the flagship offerings of the practice and was built to help corporate executives, celebrities, and high-net-worth individuals understand their online footprint and mitigate physical and digital risks. We are seeking highly motivated, creative investigative professionals to join our EDP team and work with the best in the business on innovative research and comprehensive assessments. Please note this job requisition is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change. ESSENTIAL JOB FUNCTIONS Team members are generally responsible for: Conducting extremely thorough, detailed online footprint assessments covering open sources like public records, mainstream and fringe social media platforms, and Deep and Dark Web sources. Leveraging cutting edge OSINT tools, monitoring platforms, and data visualization tools/libraries to meet clients needs. Assisting with online threat monitoring projects, when needed, to identify threats or other relevant chatter directed at client interests. Performing person of interest investigations related to insider threat, workplace violence, and cybersecurity risk mitigation. Working under tight deadlines and occasionally outside of normal business hours. Managing multiple projects at once with limited supervision. MINIMUM QUALIFICATIONS 1-3 years of investigations, law enforcement or public safety, investigative journalism, intelligence, or related experience. Bachelors degree or equivalent practical experience. Proficiency in Microsoft Office suite, including Word, Excel, and PowerPoint. Prior experience conducting open-source investigations including familiarity with disparate sources such as mainstream and fringe social media platforms, domain registration records, Deep and Dark web sources, and traditional public records i.e., regulatory filings, licensing databases, and corporate records, and media sources. Prior experience with link analysis platforms, such as Maltego, i2 Analysts Notebook, Palantir, or related applications. Prior experience preparing long form reports i.e., 20+ pages. Investigative skills coupled with instinctual investigative curiosity an ability to seek a deeper understanding from preliminary findings. Effective time management, strong writing and communications skills, and working in a fast-paced dynamic environment with multiple competing priorities and deliverables. Ability to work both independently as a self-starter and collaboratively as part of a team. Ability to synthesize and distill disparate findings to identify central themes among large datasets of online chatter. ADDITIONAL SKILLS/EXPERIENCE To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Proficiency in a foreign language, especially in Chinese, Portuguese, Arabic, Russian, or Spanish. Experience with Python programming related to OSINT tool development. Experience investigating threat actors and groups operating online, sometimes within illicit communities, documenting TTPs, attribution, and other intelligence requirements. Experience briefing decision makers orally and in writing on complex and disparate findings, with a demonstrated ability to deliver key messages with clarity, confidence, and poise. Knowledge of global events (e.g., political, economic, and cultural drivers of global conflicts) and how social media impacts contentious global issues. Open Source Intelligence certifications such as OSIP, C|OSINT, GOSI, or OSC. PHYSICAL & SAFETY EXPECTATIONS When physical requirements are not essential job functions, reasonable accommodations may be made for individuals with disabilities. Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 5 pounds at times. Ability to see, hear and speak continuously at a level to meet all essential functions of the job. Physical work is of light demand. Work is of high attention and mental demands including the ability to prioritize and process with accuracy. Benefits • Medical, Dental, Vision, Life and Accident Insurance, • Long Term and Short Term Disability, • Generous Time Off HOW TO APPLY Resume Cover Letter You will receive an auto reply confirming that weve received your application. NO FOLLOW UP PHONE CALLS OR EMAILS, PLEASE. We pride ourselves on responding to every applicant, but that sort of diligent review takes time. If you receive a confirmation message from our system, well get back to you soon. Prescient provides equal employment opportunities to all employees and applicants.

Job Description Overview Physician Affiliate Group of New York (PAGNY) is adding a Psychiatrist to the Behavioral Health group at NYC Health + Hospitals/North Central Bronx. NCB is a 457-bed community hospital providing quality care in a friendly and setting. This facility provides a range of services, and is known for its outstanding Behavioral Health, Women’s Health, Primary Care, Pediatric, Geriatric and Specialty Ambulatory services. North Central Bronx has a reputation for its devotion to the needs of its patients and has created programs tailored to provided dedicated care to the community it serves. The Mission of NYC Health + Hospitals is to extend equally to all New Yorkers, regardless of the ability to pay, comprehensive health services of the highest quality in an atmosphere of humane care, dignity, and respect. Their Values are built on a foundation of social and racial equity and has established the ICARE standards for all staff. The department of Psychiatry has 3 Adult Inpatient Units, a satellite CPEP, a Psychiatry Consultation Liaison service, a Partial Hospital Program, an Outpatient Department, and an ACT team. The hospital maintains a strong academic affiliation with the James J. Peters VA Medical Center to continue its high standards of healthcare delivery, and to provide its staff with teaching and research opportunities. Responsibilities • The attending will have overall responsibility and work with a experienced multidisciplinary clinical staff to provide hands-on direct clinical assessment, diagnosis, acute stabilization and management, crisis intervention and care, and appropriate disposition for a cohort of geriatric inpatients, • The attending will have responsibility for clinical and educational activities on a 23-bed acute Geriatric/adult inpatient unit, including participation in a multidisciplinary treatment team, • Direct supervision of Psychologists, Social Workers, Psychiatric PA staff and Medical Students, • Participation in all activities related to clinical care and documentation of care, performance improvement, regulatory compliance, and student supervision, education & training, • Participate in our innovative integrative care activities Qualifications • Must be Board Eligible or Board Certified in Adult Psychiatry, • Completion of an approved Psychiatry residency training program., • MD or DO from accredited school of medicine Annual Base Salary: $236,900* (board eligible); $247,200* (board certified) based on 40-hour work week. Additional compensation available for extra call or sessional/per diem hours. The annual total value of the compensation package is estimated at $404,590 (board eligible) and $415,920 (board certified), which includes the baseline salary, 401(k) contribution, sessional/per diem hours, and other factors as set forth below: • Estimated annual compensation for 10 additional sessional/per diem hours worked per week is $104,000., • Projected bonus of up to $40,000 (based on previous year’s average), contingent upon meeting quality and productivity targets., • 401(k) Company Contribution (subject to IRS contribution limits):, • Employees are immediately vested in a 3% company contribution of base earnings. No employee match is required., • After one year of service, employees receive an additional 7% company contribution of base earnings. No employee match is required., • Annual Continuing Medical Education (CME) Reimbursement., • Generous Annual Paid Time Off (PTO): Vacation, Sick, Holiday, and CME days., • Medical, Prescription, and Dental Coverage: Top-tier plans with employee contributions significantly below market rates., • Life Insurance and Accidental Death and Dismemberment (AD&D) Coverage: Equal to 2x your salary (up to a maximum of $300,000) provided at no cost to you., • Additional employee-paid Voluntary Life and AD&D coverage is available for you and your family., • Loan Forgiveness: Position may be eligible for loan forgiveness through certain state or federal programs., • Medical Malpractice Coverage (equivalent to occurrence-based): Provided at no cost to the employee., • Healthcare and Dependent Care Flexible Spending Accounts (FSAs). Physician Affiliate Group of New York, P.C. (PAGNY) is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. We are committed to fostering an inclusive environment where everyone feels valued and respected. Our policies ensure equal opportunities for all. Learn more about our initiatives by visiting our Diversity, Equity, and Inclusion page. *Salary Disclosure Information: The annual base salary listed complies with the New York City law on Salary Transparency in Job Advertisements. The annual base salary listed is for full-time employment and does not include bonuses/incentive compensation or benefits. Actual total compensation depends on many factors, including experience, specialties, historical productivity, and historical collections. **The annual total value of the compensation package shown is provided as an illustration and is not guaranteed.

Job Description Bala Consulting Engineers is a 200-person engineering firm headquartered in Wayne, PA with full-service offices in New York, NY, Boston, MA, Baltimore, MD, and Arlington, VA. BALA is a dynamic growth-oriented company, built on relationships with our clients, staff, and industry partners. At BALA you will enjoy an exceptional employee experience that results in a successful career based on collaboration, leadership and personal development. Bala Structures is seeking a motivated structural engineer with 4-8 years of experience for our New York City office. Strong interpersonal skills for developing client relationships is a must. We are looking at qualified applicants with diverse backgrounds to help continue to grow the Structures group at Bala. This role will work in a multitude of services within structural engineering including, but not limited to: • Design and serve as, or work with, the structural E.O.R. for building designs of new construction, renovations and additions., • Provide consultations to clients and prospective clients for structural work., • Support BALA’s MEP departments on infrastructure and fit-out projects., • Adapt to the varieties of business sectors such as commercial, residential, industrial, institutional and retail., • Structural Engineering, or Civil Degree with structural emphasis, from an accredited institution., • Registered EIT with a focus on Structural Engineering; Registered PE preferred, • 4 years minimum experience in structural design of buildings, • Creative problem-solving skills, • Capable of working individually, and in a team environment., • Ability to thrive in collaborative work situations., • A drive for thorough research, and multi-disciplinary curiosities., • An affinity for marketing and business development. Bala offers comprehensive benefits: • Medical, Dental, and Vision insurance package, • 401(k) with employer match, • Employer Paid Life Insurance, • Up to (5) weeks of PTO based on years of experience and (8) paid holidays, • 8 hours of Volunteer Time Off, • Tuition and Licensure Reimbursement, • Federal Student Loan Assistance including match up to $5,250 per year, • Section 529 Plan (College Saving Plan), • Employee Referral Program Accepting resumes from candidates only. Agencies must obtain advance written approval from Bala Consulting Engineer’s HR/Recruiting Department to submit resumes. This approval must be in the form of a valid fully executed contract for service as well as a request to submit candidates to a specific job opening. Bala Consulting Engineers will not pay a fee to any Agency that does not have such an agreement in place, or for positions for which candidates have not been specifically requested. #LI-Onsite

Job DescriptionMid to Senior Projects & Energy Finance Associate (Multi Office) Locations: New York, NY; Atlanta, GA; Austin, TX; Baltimore, MD; Boston, MA; Chicago, IL; Dallas, TX; Houston, TX; Los Angeles, CA; Miami, FL; Minneapolis, MN; Palo Alto, CA; Philadelphia, PA; Phoenix, AZ; Raleigh, NC; Reston, VA; San Diego, CA; San Francisco, CA; Seattle, WA; Short Hills, NJ; Washington, DC; Wilmington, DE. Direct Counsel is seeking a mid to senior-level finance associate to join a prestigious firm’s Project & Energy group, with a focus on energy transition financing matters. This position is open to multiple office locations across the U.S., offering the opportunity to work on high-profile and innovative financing deals in the energy transition space. Key Responsibilities: * Handle transactions related to the financing and mergers & acquisitions of energy transition projects and companies. * Provide legal counsel on tax equity and other renewable energy tax credit monetization matters. * Collaborate with clients and stakeholders on complex financial transactions in the energy sector. * Conduct legal research and draft legal documents, agreements, and transaction-related materials. * Ensure compliance with applicable laws and regulations. Qualifications: * Juris Doctor (JD) from an accredited law school. * Admitted to practice law in the jurisdiction of application. * Minimum of 4 years of experience in energy transition finance matters. * Strong background in project finance, M&A, tax equity, and renewable energy tax credit structures. * Excellent analytical, organizational, and communication skills. * Ability to work collaboratively in a fast-paced environment. Additional Information: * Hybrid work model with regular in-office presence and some flexibility for remote work. * Competitive salary range of $310,000 - $435,000 per year, dependent on location and experience. * Comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) plan. This is a unique opportunity to join a leading firm and contribute to cutting-edge projects in the energy transition space. If you meet the qualifications and are looking for a dynamic and rewarding career, we encourage you to apply.

Job Description Overview Physician Affiliate Group of New York (PAGNY) is adding two (2) Psychiatrists (ER) to the group at NYC Health + Hospitals/North Central Bronx. NCB is a 457-bed community hospital providing quality care in a friendly and setting. This facility provides a range of services, and is known for its outstanding Behavioral Health, Women’s Health, Primary Care, Pediatric, Geriatric and Specialty Ambulatory services. North Central Bronx has a reputation for its devotion to the needs of its patients and has created programs tailored to provided dedicated care to the community it serves. The Mission of NYC Health + Hospitals is to extend equally to all New Yorkers, regardless of the ability to pay, comprehensive health services of the highest quality in an atmosphere of humane care, dignity, and respect. Their Values are built on a foundation of social and racial equity and has established the ICARE standards for all staff. The department of Psychiatry has 3 Adult Inpatient Units, a satellite CPEP, a Psychiatry Consultation Liaison service, a Partial Hospital Program, an Outpatient Department, and an ACT team. The hospital maintains a strong academic affiliation with the James J. Peters VA Medical Center to continue its high standards of healthcare delivery, and to provide its staff with teaching and research opportunities. Responsibilities • The ER Psychiatrist will have responsibility for clinical and educational activities in the ER Unit, including participation in a multidisciplinary treatment team., • He/She will participate in activities related to clinical care and documentation of care, performance improvement regulatory compliance and student education., • He/She will report to their Unit Chief and Inpatient Director., • He/She will also participate in our innovative integrative care activities. Qualifications • Must be Board Eligible or Board Certified in Adult Psychiatry, • Completion of an approved Psychiatry residency training program., • MD or DO from accredited school of medicine Annual Base Salary: $236,900* (board eligible); $247,200* (board certified) based on 40-hour work week. Additional compensation available for extra call or sessional/per diem hours. The annual total value of the compensation package is estimated at $404,590 (board eligible) and $415,920 (board certified), which includes the baseline salary, 401(k) contribution, sessional/per diem hours, and other factors as set forth below: • Estimated annual compensation for 10 additional sessional/per diem hours worked per week is $104,000., • Projected bonus of up to $40,000 (based on previous year’s average), contingent upon meeting quality and productivity targets., • 401(k) Company Contribution (subject to IRS contribution limits):, • Employees are immediately vested in a 3% company contribution of base earnings. No employee match is required., • After one year of service, employees receive an additional 7% company contribution of base earnings. No employee match is required., • Annual Continuing Medical Education (CME) Reimbursement., • Generous Annual Paid Time Off (PTO): Vacation, Sick, Holiday, and CME days., • Medical, Prescription, and Dental Coverage: Top-tier plans with employee contributions significantly below market rates., • Life Insurance and Accidental Death and Dismemberment (AD&D) Coverage: Equal to 2x your salary (up to a maximum of $300,000) provided at no cost to you., • Additional employee-paid Voluntary Life and AD&D coverage is available for you and your family., • Loan Forgiveness: Position may be eligible for loan forgiveness through certain state or federal programs., • Medical Malpractice Coverage (equivalent to occurrence-based): Provided at no cost to the employee., • Healthcare and Dependent Care Flexible Spending Accounts (FSAs). Physician Affiliate Group of New York, P.C. (PAGNY) is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. We are committed to fostering an inclusive environment where everyone feels valued and respected. Our policies ensure equal opportunities for all. Learn more about our initiatives by visiting our Diversity, Equity, and Inclusion page. *Salary Disclosure Information: The annual base salary listed complies with the New York City law on Salary Transparency in Job Advertisements. The annual base salary listed is for full-time employment and does not include bonuses/incentive compensation or benefits. Actual total compensation depends on many factors, including experience, specialties, historical productivity, and historical collections. **The annual total value of the compensation package shown is provided as an illustration and is not guaranteed.

Job Description Overview Physician Affiliate Group of New York (PAGNY) is adding two (2) Psychiatrists (ER) to the group at NYC Health + Hospitals/North Central Bronx. NCB is a 457-bed community hospital providing quality care in a friendly and setting. This facility provides a range of services, and is known for its outstanding Behavioral Health, Women’s Health, Primary Care, Pediatric, Geriatric and Specialty Ambulatory services. North Central Bronx has a reputation for its devotion to the needs of its patients and has created programs tailored to provided dedicated care to the community it serves. The Mission of NYC Health + Hospitals is to extend equally to all New Yorkers, regardless of the ability to pay, comprehensive health services of the highest quality in an atmosphere of humane care, dignity, and respect. Their Values are built on a foundation of social and racial equity and has established the ICARE standards for all staff. The department of Psychiatry has 3 Adult Inpatient Units, a satellite CPEP, a Psychiatry Consultation Liaison service, a Partial Hospital Program, an Outpatient Department, and an ACT team. The hospital maintains a strong academic affiliation with the James J. Peters VA Medical Center to continue its high standards of healthcare delivery, and to provide its staff with teaching and research opportunities. Responsibilities • The ER Psychiatrist will have responsibility for clinical and educational activities in the ER Unit, including participation in a multidisciplinary treatment team., • He/She will participate in activities related to clinical care and documentation of care, performance improvement regulatory compliance and student education., • He/She will report to their Unit Chief and Chair., • He/She will also participate in our innovative integrative care activities. Qualifications • Must be Board Eligible or Board Certified in Adult Psychiatry, • Completion of an approved Psychiatry residency training program., • MD or DO from accredited school of medicine Annual Base Salary: $236,900* (board eligible); $247,200* (board certified) based on 40-hour work week. Additional compensation available for extra call or sessional/per diem hours. The annual total value of the compensation package is estimated at $404,590 (board eligible) and $415,920 (board certified), which includes the baseline salary, 401 (k) contribution, sessional/per diem hours, and other factors as set forth below: • Estimated annual compensation for 10 additional sessional/per diem hours worked per week is $104,000., • Projected bonus of up to $40,000 (based on previous year’s average), contingent upon meeting quality and productivity targets., • 401(k) Company Contribution (subject to IRS contribution limits):, • Employees are immediately vested in a 3% company contribution of base earnings. No employee match is required., • After one year of service, employees receive an additional 7% company contribution of base earnings. No employee match is required., • Annual Continuing Medical Education (CME) Reimbursement., • Generous Annual Paid Time Off (PTO): Vacation, Sick, Holiday, and CME days., • Medical, Prescription, and Dental Coverage: Top-tier plans with employee contributions significantly below market rates., • Life Insurance and Accidental Death and Dismemberment (AD&D) Coverage: Equal to 2x your salary (up to a maximum of $300,000) provided at no cost to you., • Additional employee-paid Voluntary Life and AD&D coverage is available for you and your family., • Loan Forgiveness: Position may be eligible for loan forgiveness through certain state or federal programs., • Medical Malpractice Coverage (equivalent to occurrence-based): Provided at no cost to the employee., • Healthcare and Dependent Care Flexible Spending Accounts (FSAs). Physician Affiliate Group of New York, P.C. (PAGNY) is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. We are committed to fostering an inclusive environment where everyone feels valued and respected. Our policies ensure equal opportunities for all. Learn more about our initiatives by visiting our Diversity, Equity, and Inclusion page. *Salary Disclosure Information: The annual base salary listed complies with the New York City law on Salary Transparency in Job Advertisements. The annual base salary listed is for full-time employment and does not include bonuses/incentive compensation or benefits. Actual total compensation depends on many factors, including experience, specialties, historical productivity, and historical collections. **The annual total value of the compensation package shown is provided as an illustration and is not guaranteed.

Job Description Bala Consulting Engineers is a 200-person engineering firm headquartered in Wayne, PA with full-service offices in New York, NY, Boston, MA, Baltimore, MD, and Arlington, VA. BALA is a dynamic growth-oriented company, built on relationships with our clients, staff, and industry partners. At BALA you will enjoy an exceptional employee experience that results in a successful career based on collaboration, leadership and personal development. BALA Structures Group is seeking a motivated structural engineer with 10 years of experience for the New York office. Strong interpersonal skills for developing client relationships is a must. We are looking at qualified applicants with diverse backgrounds to help continue to grow the Structures group at Bala. This role will work in a multitude of services within structural engineering including, but not limited to: • Design and serve as, or work with, the structural E.O.R. for building designs of new construction, renovations and additions., • Provide consultations to clients and prospective clients for structural work., • Support BALA’s MEP departments on infrastructure and fit-out projects., • Adapt to the varieties of business sectors such as commercial, residential, industrial, institutional and retail., • Structural Engineering, or Civil Degree with structural emphasis, from an accredited institution., • Registered EIT with a focus on Structural Engineering; Registered PE preferred, • 10+ years experience in structural design of buildings, • Creative problem-solving skills, • Capable of working individually, and in a team environment., • Ability to thrive in collaborative work situations., • A drive for thorough research, and multi-disciplinary curiosities., • An affinity for marketing and business development. Bala’s compensation package includes a rich benefits package along with market competitive salary structure. Our culture creates an environment where relationships thrive and careers flourish. Bala offers comprehensive benefits: • Medical, Dental, and Vision insurance package, • 401(k) with employer match, • Employer Paid Life Insurance, • Up to (5) weeks of PTO based on years of experience and (7) paid holidays, • 8 hours of Volunteer Time Off, • Tuition and Licensure Reimbursement, • Federal Student Loan Assistance including match up to $5,250 per year, • Section 529 Plan (College Saving Plan), • Employee Referral Program Agencies must obtain advance written approval from Bala Consulting Engineer’s HR/Recruiting Department to submit resumes. This approval must be in the form of a valid fully executed contract for service as well as a request to submit candidates to a specific job opening. Bala Consulting Engineers will not pay a fee to any Agency that does not have such agreement in place, or for positions for which candidates have not been specifically requested. #LI-Onsite

Job Description About Us At Greenbrook Medical, we believe seniors deserve more from the healthcare system—more time, more care, more coordination, and more heart. We provide high-touch, relationship-based primary care to seniors, built around one simple idea: deliver the kind of care we'd want for our own parents. Founded by two brothers inspired by their father's pioneering work in Medicare Advantage, Greenbrook is deeply personal and proudly modern. We quarterback our patients through their healthcare journey, making sure they're never alone in a complex system. Our business model is designed around patient outcomes, not volume—so we only succeed when our patients thrive. With roots in Tampa Bay and a partnership with Tampa General Hospital, we're growing thoughtfully to bring our model to more communities. Our team is the heart of it all: mission-driven, values-oriented, and relentlessly committed to taking the best care of our patients. About the Role We are looking for a Senior People Operations Generalist with a strong focus on Learning & Development. You'll partner closely with leadership and frontline teams to design and implement programs that elevate skills, drive engagement, and ensure our staff delivers the highest quality care. Reporting to the Chief People Officer, in this role you will shape the growth and development of our clinical and central teams by designing and delivering engaging onboarding and training programs. You'll partner closely with managers and team members to provide guidance, coaching, and career support, while collaborating across several teams to ensure our talent strategies drive real business impact. By analyzing learning outcomes and team performance metrics, you'll continuously refine programs to strengthen skills, elevate performance, and help our teams deliver exceptional care. Compensation Compensation range: $110,000-$120,000, with a generous performance bonus At Greenbrook Medical, we value fair and equitable pay. Your salary within this range will be based on your relevant, transferable experience and professional achievements. Location: New York City strongly preferred (Hybrid). Open to exceptional remote candidates in FL, VA, TX, NY, MO (must be located in these states to be eligible). Key Responsibilities Learning & Development • Design, deliver, and evaluate onboarding programs for our team, with an initial focus on Medical Assistants and Center Managers, including role-specific skills, compliance training, and practical workflow simulations., • Develop ongoing training, skills refreshers, and performance support tools such as checklists, job aids, and learning modules to improve clinical efficiency and patient outcomes., • Partner with the VP of Operations and Center Managers to conduct learning needs assessments, identify skill gaps, and build tailored development solutions aligned to team goals., • Partner with the Chief People Officer to create and deploy performance management resources, including goal-setting templates, feedback frameworks, and coaching guides for clinical teams., • Collaborate with the Senior Recruiter to optimize onboarding systems, standardize training workflows, and actively support the first 90 days of new hires to accelerate proficiency and engagement., • Track and report on key L&D metrics, including onboarding satisfaction surveys, quarterly performance evaluations, clinical productivity, and patient care quality indicators., • Continuously refine learning programs using feedback, competency assessments, and operational outcomes to ensure training drives measurable improvements. Accountabilities • Design, implement, and manage training plans for various roles and teams, including onboarding, role-specific skills development, and ongoing refreshers., • Track and report on key people metrics to measure impact of learning programs, including:, • Team retention rates and turnover reduction, • Employee engagement scores from surveys and feedback, • Improvements in performance metrics via onboarding and early performance surveys, • Internal manager satisfaction, as measured by internal surveys, • Use data-driven insights from performance reviews, onboarding surveys, and operational metrics to continuously refine training content and delivery methods. About You • Experience:, • 5-8 years of HR generalist experience, with at least 3 years in learning and development, • 3+ years of experience working in a high growth healthcare or health tech organization, • Preferred: Experience training and collaborating with frontline clinical staff (physicians and non-physicians) to enhance operational effectiveness., • Education: Bachelors degree required, advanced degree is a plus, • Skills:, • Strong communication and interpersonal skills, • Collaborative mindset with willingness to learn and grow, • High attention to detail and commitment to excellence, • Demonstrated experience designing and delivering training programs for on-the-ground staff, ideally in a healthcare setting, • Familiarity with HR systems (Rippling, Lattice, LMS systems) and clinical operations, • Takes initiative to independently research, learn, and implement solutions when encountering unfamiliar tasks or challenges., • Values: You embody our core values of Heart, Excellence, Accountability, Resilience, and Teamwork. Why You Should be Excited • Innovation: Be part of an innovative clinic setting the standard for senior-focused primary care. Work in a supportive, patient-first environment that values quality care., • Impact: Be part of a mission-driven team focused on transforming healthcare for underserved seniors., • Growth: We're building more than a company - we're building careers. As we grow, we're creating meaningful opportunities for you to expand your skills, take on new challenges, and shape your path forward., • Compensation & Benefits: Competitive base salary and performance-based bonus, paid time off, health, dental and vision benefits, and 401K with a company match. Our Selection Process Our selection process typically includes an online application, initial interview, second round interview, values interview, case study submission and interview, and reference check. Equal Employment Opportunity and Commitment to Diversity At Greenbrook Medical, we believe the only way we accomplish our mission is by building the best team in healthcare. We do this through a culture of respect and belonging, ensuring our teammates feel cared for first and foremost. We will extend equal employment opportunity to all applicants without regard to age, race, ethnicity, sex, religion, sexual orientation, gender identity, socioeconomic background, disability status, military affiliation, pregnancy or any other status protected under federal, state and local laws. We encourage all who share our mission to apply. Greenbrook Medical will provide reasonable accommodations during the recruitment process. If you need additional accommodations or assistance, do not hesitate to contact our People team at .

Job Description The Purpose of Zearn Zearn is the nonprofit educational organization whose mission is to inspire all kids to love learning math. Everything we do is driven by our belief that every kid is a math kid. Our top-rated learning platform is designed to catch kids up and move them forward in grade-level math. And it works. Large-scale efficacy research shows students who use Zearn make significant gains in math proficiency, including the students who start multiple grade levels behind. The vital importance of learning math today is hard to understate, and yet today, it is common to think that only some are born to achieve in math. Math learning is often disparaged and feared (e.g. I'd rather go to the dentist than do algebra) or viewed as a special interest or luxury (e.g. if kids don't have a passion for math that is okay, maybe they have a passion for pottery). We don't look at learning to read the same way. Zearn exists to help create a world where all children love learning math. As a nonprofit, all of our work is driven by what is best for kids. At the same time, we operate as an intense and fast-moving technology company, inclusively solving hard problems that will impact current and future generations. The problems we solve require expertise in pedagogy, software development, persuasion, psychology, design, writing, video production, problem solving, and countless other disciplines. As an organization that is always stretching to get to the next level of impact, every single person owns mission critical work. If you’re ready to join our Team of problem solvers, and own work that will drive us to achieve impact at scale, we are looking for you. Learn more about us at . The purpose of the Senior Executive Assistant role at Zearn is to ensure our Executive team is able to knock down the dominoes needed to create the numeracy movement. The Executive Assistant team plays a crucial part in ensuring our Executive Leadership Team is successful. This is achieved by: Acting as a central hub for scheduling and calendaring, safeguarding executive time through complex scheduling, efficiency and frequent prioritization. Senior Executive Assistants ensure Zearn’s ELT is where they need to be, when they need to be. • Expertly managing an executive’s calendar to ensure their maximum productivity, • Scheduling team-wide meetings to be led by ELT member, • Scheduling external meetings (customer-facing or training meetings) Empowering executives through expert level support and information management, ensuring seamless operations and enabling executives to focus on driving organizational success. • Attending meetings and taking notes of discussions; preparing the initial draft of minutes and communicating summaries/action items, • Managing tasks including: contact management, expenses, notarizations, travel management, event support, filing and shipping., • Discreetly handling confidential information., • Maintaining a strong organizational system to ensure the ability to quickly access requested information, • Distributing internal/external communications and updating internal databases Facilitating high-quality relationship management with various stakeholders, both internal and external. • Creating database that contains knowledge on all critical stakeholders, internal and external, • Timely response to stakeholders, • Triage response times based on stakeholder, • Supporting the maintenance of strong relationships with critical stakeholders Creating structure and process for executive workflows with the goal of both maximizing their efficiency, and being best prepared to create informed solutions to in the moment problems. • Proactively identifying solutions to problems, anticipating needs, and responding with urgency, • Identifying opportunities to streamline to increase executive productivity Managing and coaching other Executive Assistants, elevating their level of support to ensure it is world class and in alignment with the team’s standard operating procedures • Building EA SOP’s and craft standard operating principles for EA’s., • Ensuring all members of the EA team are following the standard operating procedures, • Identifying potential improvements within EA SOP’s, • Providing ongoing coaching and apprenticeship to EA’s Examples of problems someone in this role can be expected to solve: • How do we share EA calendaring norms and best practices across the Team?, • How can we gain context and knowledge to learn to identify the right shifts without needing to burden the Executive with questions?, • How do we develop best in class EA standard operating procedures?, • How do we build strong systems to support executives and accelerate their work?, • What systems can be built and rolled out to manage stakeholder relationships?, • What tasks that are currently done manually, can be automated in any way?, • What templates can be built that allow future tasks to be less of a lift?, • How do I build a playbook that tracks common problems and solutions for current and future EA’s to use? SKILLS: Below are the skills we believe would be impactful for this role. A strong candidate will demonstrate strengths in leading people, communication, collaborative problem solving, strategic thinking, and project management. But more importantly, we are looking for candidates who are excited to develop and improve these skills through continuous coaching and on-the-job apprenticeship. Organizing People & Teams • Managing time and commitments, • Deadline-oriented execution, • Organizing your team’s knowledge and ideas, • Continuously improving your team’s workflow and processes, • Proactively learning and using team processes Communication • Critical reading, • Active and attentive listening, • Sharing your perspective productively, • De-escalating emotional situations Problem Solving & Strategy • Troubleshooting and solving everyday work problems, • Building internal networks to solve problems, • Participating in team problem solving Quality & Risk • Pressure testing written work Leadership • Keeping a team well organized, • Leading fast and inclusive problem solving interactions, • Leading productive team routines, • Coaching and apprenticing individual contributors POTENTIAL MARKERS OF THESE SKILLS • 10+ years supporting and/or serving as an Executive Assistant to C-Suite team member(s) THIS IS A MANAGEMENT POSITION • Title: Senior Executive Assistant, • Reports to: Chief Marketing Officer, • Direct Report(s): Executive Assistant, • Supports: Chief Marketing Officer and Chief Partnerships Officer How We Work • We aim to create a numeracy movement. This is no easy feat, and no one of us can solve this on our own. Given that, Zearn is a transparent, collaborative, and open-to-feedback culture., • The Executive Administrative team has to work in close collaboration and partnership with teams across Zearn. We do this not only to drive productivity for our executives, but to support them in brainstorming ways to improve structure and processes that impact all teams across the organization., • As a result, our work is often collaborative in nature:, • We support each other by creating a sense of community among the administrative team who meet monthly to share context and collectively solve problems to drive Zearn’s velocity., • We seek ways to improve broken systems and work with ELT to contribute thinking in both asynchronous and synchronous discussions., • We maintain a scheduling board in Factor where cross functional meeting requests are shared often., • We have shared guidelines in place to help support you when needed. Location This role is remote and can be performed in any of the following states/locations: CA, CT, FL, IL, LA, MA, NC, NJ, NY, OH, OR, PA, TN, TX, VA, WA, WI and Washington D.C. Compensation and Benefits The compensation range for this role is $85,000 - $95,000 per year. We offer a competitive benefits package, including comprehensive medical, dental, and vision plans, short- and long-term disability, life insurance, 401K matching, parental leave, a generous Holiday policy, and a flexible PTO policy. We also offer a collegial and passionate culture and the potential to positively impact the lives of millions of children. TO APPLY: Zearn is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit, and business need.

Job Description To Apply: A cover letter and resume are important for us to understand your interest and experience, skills and how your qualifications align with the role. Please upload your cover letter through our ADP Application System as an additional document or include it as page one of your resume documents. Internet2 is a non-profit, member-driven advanced research and higher education technology organization. Founded in 1996, Internet2 provides and delivers mission-critical technology services and programs. Internet2's core infrastructure components include the nation's largest and fastest network and cloud and security services that are influenced, customized, and designed to address the unique needs of technology leaders in research and education (R&E). Internet2 serves and supports U.S. higher education institutions, federal government agencies, regional and state education networks, leading industry providers, and international R&E network partners across more than 100 countries. Internet2 programs advance opportunities to convene, collaborate, and innovate. Position Overview: Internet2 is seeking a highly motivated and detail-oriented Data Analyst Intern to support the NET+ program. This paid, hybrid-remote internship offers an excellent opportunity to gain hands-on experience in data analysis within a dynamic and impactful environment. The intern will play a key role in ensuring the accuracy and integrity of our data, contributing directly to data-informed decision-making within the business unit. This position reports to the Director of Business Operations. Responsibilities: * Contribute to projects focused on improving data collection, analysis, and reporting processes. * Bring fresh perspectives and ideas to key projects. * Contribute to projects critical to the business unit's data-informed decision-making. * Collaborate with team members to understand business needs and translate them into data-driven solutions. * Perform manual data cleaning and validation to ensure data quality. * Assist with various data-related tasks as assigned. * Gain exposure to and potentially work with cloud platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP), as well as AI tools. Qualifications: * Demonstrated ability to work independently and complete tasks in a timely fashion with minimal supervision. * Currently pursuing or recently completed an Associate's or Bachelor's degree in any relevant field, including but not limited to Data Science, Business Analytics, Computer Science, Information Technology, or a related discipline or field. * Strong attention to detail and a commitment to data accuracy. * Excellent organizational and time-management skills. * Strong communication and interpersonal skills. Preferred Qualifications: * Familiarity with data analysis concepts and tools. * Interest in cloud computing and AI. * Preferred locations: NYC metro area (NY, NJ, CT), DC/DMV metro area (DC, MD, VA), Research-Triangle Park, NC area, and Ann Arbor, MI. * Remote candidates in other locations will be considered, minimal travel may be required. * Potential hybrid work approach for candidates in the preferred locations. Internship Opportunities: * Paid internship: $20 per hour. * 10-15 hours per week. * Opportunity to gain valuable experience in a real-world business setting. * Exposure to leading-edge technologies, including AWS, GCP, and AI tools. * Work on projects that directly impact the NET+ program and its mission. * Develop skills in data cleaning, analysis, and reporting. * Potential for academic credit (please discuss with your university/college for guidelines). * Collaborative and supportive work environment. To Apply: A cover letter and resume are important for us to understand your interest and experience, skills and how your qualifications align with the role. Please upload your cover letter through our ADP Application System as an additional document. Internet2 is a 501(c)(3) not-for-profit organization and equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to any characteristic protected by local, state, or federal laws, rules, or regulations.

Provider Resources, LLC (PRI) is seeking board-certified clinicians to join our panel for an important mission of ensuring quality healthcare for our Nation s Veterans. As a VA medical reviewer, you will conduct thorough, objective case reviews to assess the quality and appropriateness of care provided to Veterans. This is a remote, flexible position that allows you to contribute your clinical expertise while maintaining your current practice. What Should I Expect? • Performs comprehensive medical record peer reviews for determination of appropriate clinical outcomes in accordance with all State and Federal mandated regulations, • Make clinical judgments based on clinical experience and evidence-based medical research as a Subject Matter Expert (SME) in your clinical area of expertise, • Maintain compliance with all regulation changes as they impact medical and utilization review practices, • Document all review information as instructed, • Communicate report results to the appropriate supervisor, • Access electronic health information, as assigned/granted Do I Qualify?, • Must hold a current medical license, • Must be board certified within their clinical specialty (as appropriate), • Currently works a minimum of 20 hours per month within their area of clinical specialty, • Must have a minimum of 5 years full-time experience in direct care, • Must be actively seeing patients within the last 3 yearsWebsite: • Email:

Provider Resources, LLC (PRI) is seeking board-certified clinicians to join our panel for an important mission of ensuring quality healthcare for our Nation s Veterans. As a VA medical reviewer, you will conduct thorough, objective case reviews to assess the quality and appropriateness of care provided to Veterans. This is a remote, flexible position that allows you to contribute your clinical expertise while maintaining your current practice. What Should I Expect? • Performs comprehensive medical record peer reviews for determination of appropriate clinical outcomes in accordance with all State and Federal mandated regulations, • Make clinical judgments based on clinical experience and evidence-based medical research as a Subject Matter Expert (SME) in your clinical area of expertise, • Maintain compliance with all regulation changes as they impact medical and utilization review practices, • Document all review information as instructed, • Communicate report results to the appropriate supervisor, • Access electronic health information, as assigned/granted Do I Qualify?, • Must hold a current medical license, • Must be board certified within their clinical specialty (as appropriate), • Currently works a minimum of 20 hours per month within their area of clinical specialty, • Must have a minimum of 5 years full-time experience in direct care, • Must be actively seeing patients within the last 3 yearsWebsite: • Email:

Provider Resources, LLC (PRI) is seeking board-certified clinicians to join our panel for an important mission of ensuring quality healthcare for our Nation s Veterans. We are actively recruiting specialists in the following areas: • Preventative Medicine - Medical Toxicology, • Preventative Medicine - Undersea & HB Medicine, • Performs comprehensive medical record peer reviews for determination of appropriate clinical outcomes in accordance with all State and Federal mandated regulations, • Make clinical judgments based on clinical experience and evidence-based medical research as a Subject Matter Expert (SME) in your clinical area of expertise, • Maintain compliance with all regulation changes as they impact medical and utilization review practices, • Document all review information as instructed, • Communicate report results to the appropriate supervisor, • Access electronic health information, as assigned/granted Do I Qualify?, • Must hold a current medical license, • Must be board certified within their clinical specialty (as appropriate), • Currently works a minimum of 20 hours per month within their area of clinical specialty, • Must have a minimum of 5 years full-time experience in direct care, • Must be actively seeing patients within the last 3 yearsWebsite: • Email:

Provider Resources, LLC (PRI) is seeking board-certified clinicians to join our panel for an important mission of ensuring quality healthcare for our Nation s Veterans. We are actively recruiting specialists in the following areas: • Radiology - Medical Physics (Dx, Nuclear, Therapeutic), • Radiology - Neuroradiology, • Radiology - Nuclear, • Performs comprehensive medical record peer reviews for determination of appropriate clinical outcomes in accordance with all State and Federal mandated regulations, • Make clinical judgments based on clinical experience and evidence-based medical research as a Subject Matter Expert (SME) in your clinical area of expertise, • Maintain compliance with all regulation changes as they impact medical and utilization review practices, • Document all review information as instructed, • Communicate report results to the appropriate supervisor, • Access electronic health information, as assigned/granted Do I Qualify?, • Must hold a current medical license, • Must be board certified within their clinical specialty (as appropriate), • Currently works a minimum of 20 hours per month within their area of clinical specialty, • Must have a minimum of 5 years full-time experience in direct care, • Must be actively seeing patients within the last 3 yearsWebsite: • Email:

Provider Resources, LLC (PRI) is seeking board-certified clinicians to join our panel for an important mission of ensuring quality healthcare for our Nation s Veterans. As a VA medical reviewer, you will conduct thorough, objective case reviews to assess the quality and appropriateness of care provided to Veterans. This is a remote, flexible position that allows you to contribute your clinical expertise while maintaining your current practice. What Should I Expect? • Performs comprehensive medical record peer reviews for determination of appropriate clinical outcomes in accordance with all State and Federal mandated regulations, • Make clinical judgments based on clinical experience and evidence-based medical research as a Subject Matter Expert (SME) in your clinical area of expertise, • Maintain compliance with all regulation changes as they impact medical and utilization review practices, • Document all review information as instructed, • Communicate report results to the appropriate supervisor, • Access electronic health information, as assigned/granted Do I Qualify?, • Must hold a current medical license, • Must be board certified within their clinical specialty (as appropriate), • Currently works a minimum of 20 hours per month within their area of clinical specialty, • Must have a minimum of 5 years full-time experience in direct care, • Must be actively seeing patients within the last 3 yearsWebsite: • Email:

Job Description Primary Job Title: AML Operations Officer Location: New York City Shift/Work Schedule: Monday to Friday, 8:00 AM – 5:00 PM (may be flexible) Employment Type: Contract (6 Months) Scope of Project AML Operations Officer will support the global name screening operations team to process over 1 million alerts. Responsibilities include reviewing alerts related to sanctions, PEPs, adverse media, MSPs, and other watch list sources. Job Description The AML Financial Crime Risk Investigation Support Officer II processes alerts and/or fraud cases to identify regulatory or policy violations contributing to AML, fraud, or Sanctions/ABAC financial crimes. The role ensures all necessary due diligence to support accuracy in activities and transactions. Primary Responsibilities * Review watchlist alerts to identify potential matches and clear false positives. * Analyze key demographics (name, date of birth, address) to disprove or escalate alerts per the decision matrix. * Document rationale for alert disposition; escalate matches to Analyst 1.2. Depth & Scope * Prioritize and manage workload to meet SLA targets. * Apply operating policies and procedures. * Ensure accuracy and compliance with internal and regulatory standards. * Escalate high-risk or non-standard activities. * Complete adjudications and investigations; report risk or process gaps. * Recommend improvements to productivity and efficiency. Customer Accountabilities * Review banking transactions to ensure regulatory compliance. * Forward unusual transactions for further investigation. * Conduct research activities and resolve discrepancies. * Support service delivery and process improvement initiatives. * Maintain confidentiality and adhere to Code of Conduct. Shareholder Accountabilities * Maintain confidentiality and escalate issues appropriately. * Identify and manage risks in line with policy and regulation. * Produce functional or enterprise-level documentation. * Maintain project records and provide management updates. * Execute standard practices and comply with guidelines. Employee/Team Accountabilities * Participate fully as a team member and promote a positive work environment. * Enhance and share knowledge/expertise across the team. * Support an inclusive and equitable workplace. * Serve as a brand champion internally and externally. Note: Responsibilities described are intended as a general overview and not an exhaustive list. Qualifications * Education: Undergraduate degree preferred (e.g., Criminal Justice or relevant field). * Experience: 1–2 years of prior AML experience required. Must-Have Skills * AML experience (1+ years). * Proven ability to manage high-volume alert queues. Soft Skills * Strong attention to detail. * Effective and quick decision-making skills. Nice-to-Have * Retail or teller banking experience. Disqualifiers * Short job tenures on résumés. Alternate Work Locations (AML Hub Sites) Also open to candidates near or in: * New York, NY * Charlotte, NC * Greenville, SC * Jacksonville, FL * Lewiston, ME * Wilmington, DE * Vienna, VA Benefits * Medical, Vision, and Dental Insurance Plans * 401k Retirement Fund About the Company A top 10 Canadian and North American bank offering comprehensive financial services, including retail, commercial, wealth management, and wholesale banking. The company is committed to helping clients thrive in a dynamic financial landscape. About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients include Fortune 500 companies across banking, insurance, financial services, technology, life sciences, biotech, utilities, and retail industries in the U.S. and Canada. We look forward to helping you land your next great career opportunity! 25-24017: #gttic #gttjobs Company DescriptionGlobal Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure. We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier. There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: Awards SIA’s Fastest Growing Staffing Firm: 2023 and 2015 SIA’s Best Staffing Firm to Work for: 2019 -2023 Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015 Randstad Preferred Supplier: 2020 - 2023 TechServe Alliance Excellence Award. 2019 NH Business Magazines Fast 5 fastest growing companies Ernst & Young Entrepreneur of the Year Finalist: 2015Global Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015

VA New York Harbor Healthcare System (NYHHS) is seeking an Body Imaging & Nuclear Medicine Radiologist that will serve as a member in the diagnostic radiology department at our Manhattan, Brooklyn and Queens campuses.You will be responsible for administrative, clinical, educational, and research act