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The Applied Researcher I role is part of Capital One's AI Foundations team, focusing on developing trustworthy and reliable artificial intelligence systems to transform banking experiences. Key responsibilities include building AI foundation models from design through implementation, leveraging technologies like PyTorch and AWS to extract insights from large datasets, and collaborating with cross-functional teams to deliver high-impact products. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art research with real-world applications. The role supports a culture of innovation and continuous learning, allowing researchers to own their agendas and translate complex technical concepts into tangible business value.

The Senior Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and establishing governance and observability frameworks. The position leverages a modern stack of open-source and cloud technologies to deliver high-impact products. This opportunity appeals to candidates seeking to lead technical vision in a collaborative environment where emerging AI capabilities are applied to solve complex, undefined problems. The role offers the chance to work with world-class talent on systems that directly enhance customer experiences while maintaining a strong commitment to ethical AI practices.

This distinguished AI engineering role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training and large language model inference, while optimizing performance for cost and latency. Engineers collaborate with cross-functional partners to integrate state-of-the-art technologies like PyTorch and vector databases into production environments. The role appeals to those seeking to lead technical vision and mentor teams while solving undefined, high-impact problems in a culture that values innovation and ethical AI. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques for performance and cost efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the long-term technical vision for the organization. The role appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to work with a diverse technology stack on high-impact projects that redefine customer experiences. The position supports a culture of innovation where engineers are encouraged to solve undefined challenges and mentor others while working in a collaborative environment.

This Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable Gen AI platforms, including agentic systems and LLM infrastructure. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position requires leveraging technologies like PyTorch and AWS to drive technical vision and roadmap development. The role is appealing for its opportunity to apply cutting-edge research to transform banking, offering a collaborative environment where engineers can solve undefined problems and deliver high-impact solutions to millions of customers.

This full-time Lead Machine Learning Engineer role within the Enterprise Platforms Technology team focuses on designing, building, and scaling production-ready machine learning systems for a major financial institution. The position involves collaborating with cross-functional Agile teams to architect ML solutions, develop optimized data pipelines, and ensure high availability and performance of deployed models. Key responsibilities include overseeing model retraining and monitoring, implementing continuous integration and deployment practices, and maintaining strict governance for responsible AI. The role appeals to candidates seeking to apply advanced technical skills in Python, Scala, or Java while working with cloud-based architectures at scale. It offers a dynamic environment for professional growth, the opportunity to lead engineering initiatives, and a collaborative culture centered on innovation and complex problem-solving.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates seeking to work at the forefront of machine learning innovation in a collaborative environment that values creativity, ethical decision-making, and professional growth. The position requires a strong engineering mindset to deliver models at scale and offers the opportunity to shape the future of customer interactions through cutting-edge AI applications.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, leveraging open-source technologies, and shaping the long-term technical vision for foundational AI infrastructure. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while working in a culture that values innovation, technical excellence, and ethical AI deployment. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and establishing governance and observability for production AI. The position leverages a modern stack of open-source and cloud technologies to solve complex, undefined problems. The role appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world impact. It offers a collaborative environment dedicated to innovation and high-leverage business outcomes.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. The position involves designing and deploying large language model infrastructure, including training, inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the long-term technical roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation and ethical AI. The position offers the opportunity to work with a broad stack of open-source and cloud technologies while driving high-impact solutions for millions of customers.

This Senior Director, Applied Research role leads the AI Foundations team at Capital One, focusing on building trustworthy AI systems that transform customer banking experiences. The position involves managing teams of applied scientists while partnering with cross-functional groups to design, train, and deploy large-scale foundation models. Key responsibilities include driving strategic research direction, leveraging advanced technologies like PyTorch and AWS to analyze vast data sets, and translating complex technical concepts into tangible business value. The role appeals to innovative leaders passionate about pushing the boundaries of machine learning, offering the opportunity to represent the company in the global research community and mentor high-performing talent. This position combines deep technical expertise with people leadership in a culture dedicated to reimagining financial services through cutting-edge artificial intelligence.

This Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. Key responsibilities include designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to transform banking. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working in a collaborative environment dedicated to responsible and reliable AI.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform banking experiences. The position involves designing and training foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment where innovation directly improves customer interactions. It offers the opportunity to lead a research agenda, publish findings, and work with state-of-the-art infrastructure in a culture that values technical excellence and ethical AI development. The position is based in major hubs including Cambridge, McLean, New York, and San Jose.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world problems in a collaborative environment that values technical excellence and innovation. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse cross-functional team.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance, and establishing governance and observability for production AI. The position leverages a modern stack of open-source and cloud technologies to solve complex, undefined problems. The role appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world impact. It offers a collaborative environment where engineers can mentor teams and drive innovation in a mission-driven culture.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI infrastructure. The role appeals to candidates seeking to apply state-of-the-art research in production environments while working on high-impact problems that redefine customer experiences. It offers a collaborative culture where engineers can lead technical initiatives and influence strategic direction across the organization.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable generative AI platforms. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing governance and observability frameworks, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to apply cutting-edge research to transform banking services, offering a collaborative culture that values innovation and technical excellence. The position supports a hybrid work arrangement and provides a platform to lead the development of high-impact solutions for millions of customers.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy and scalable artificial intelligence systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, collaborating with cross-functional teams of engineers and product managers to deploy AI solutions, and translating complex research into tangible business value. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to high-impact research that directly improves customer interactions. The role is based in major US hubs including Cambridge, McLean, New York, and San Francisco, with a strong emphasis on innovation, technical excellence, and professional growth within a collaborative engineering culture.

This Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and Huggingface to deliver high-impact products. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for foundational AI. It offers the opportunity to work on complex, undefined problems with a team dedicated to bringing humanity and simplicity to financial services.

The Sr. Distinguished AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and establishing governance and observability for production AI. The position leverages a broad stack of open-source and cloud technologies to solve complex, undefined problems. This opportunity appeals to candidates seeking to lead technical vision and influence cross-functional stakeholders while working on high-impact applications that enhance customer experiences. The role offers a collaborative environment dedicated to advancing state-of-the-art science and engineering in a mission-driven culture.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. The position involves building and customizing large language models through pre-training, fine-tuning, and reinforcement learning techniques. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS to analyze vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI while working in a collaborative environment that values innovation and customer impact. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable generative AI platforms. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while collaborating with cross-functional partners. The role offers the opportunity to shape the technical vision for foundational AI systems and work in a culture that values innovation, technical excellence, and impactful product experiences.