Jobs at San Francisco Foundation

This full-time 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 want to shape the future of banking by applying cutting-edge research to real-world customer experiences. The role offers the opportunity to work on high-impact, undefined problems within a collaborative environment that values innovation and responsible AI development.

This senior distinguished engineering role focuses on architecting and scaling foundational compute infrastructure for Capital One's enterprise AI and machine learning platform. The position involves designing highly available, multi-tenant systems using distributed frameworks like Ray and Spark, while optimizing workloads for large language model training and inference. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects. The role appeals to engineers seeking to shape the future of responsible AI in a collaborative environment that values innovation, mentorship, and cross-functional collaboration. It offers remote eligibility and the opportunity to influence technology strategy within a leading financial institution.

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. The position involves designing and deploying AI software components, implementing state-of-the-art optimization techniques to enhance system performance and cost-efficiency, and collaborating with cross-functional partners to deliver responsible AI products. The role appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse stack of open-source and cloud technologies in a culture dedicated to transforming banking through innovation.

This Senior Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure for the banking sector. The position involves designing and deploying large language model systems, including foundation model training, inference optimization, and implementing guardrails for safety. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, inventing state-of-the-art optimization techniques for latency and cost, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to lead the development of transformative AI solutions that reimagine customer experiences while working with a cutting-edge stack of open-source and cloud technologies. The position offers a collaborative environment where engineers can tackle undefined problems and drive innovation in a mission-driven culture.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast data sets, and collaborating with cross-functional teams to deploy AI solutions into production. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact research that directly influences customer interactions. The role supports a culture of innovation and continuous learning, allowing researchers to define their own agendas while working with state-of-the-art tools in a collaborative environment.

The 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, influence cross-functional stakeholders, and apply cutting-edge research to real-world financial products. The role offers a collaborative environment dedicated to innovation and high-impact engineering, with a hybrid work arrangement based on the specific location.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform customer banking experiences. The position involves partnering with cross-functional teams to build AI 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 passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art projects with a collaborative culture that values innovation and ethical AI practices. The position requires a strong engineering mindset to deliver models at scale and supports professional growth through engagement with emerging technologies and high-impact research agendas.

This full-time Lead AI/ML Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure using Kubeflow and foundation models. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and vector databases to deliver high-impact products. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment that values technical excellence and innovation. It offers the opportunity to shape the long-term technical vision for AI at a leading financial institution while working with world-class talent.

This lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable generative AI platforms. The position involves designing and deploying large language model infrastructure, including training, inference, and governance systems, while optimizing performance for cost and latency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products and applying state-of-the-art research to production environments using technologies like PyTorch and AWS. The role appeals to technical leaders seeking to reimagine banking through breakthrough AI capabilities, offering a collaborative culture that values innovation, resilience, and the opportunity to solve undefined problems at scale.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems that transform customer banking experiences. The position involves partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role is appealing for its opportunity to work on cutting-edge machine learning projects with a mission to bring humanity to finance, offering a collaborative environment that values innovation and professional growth. Candidates will engage with high-impact research to push the boundaries of current AI capabilities.

The Senior Distinguished AI Engineer role at 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 those seeking to lead technical vision and influence cross-functional stakeholders while working on high-impact applications that bring humanity to finance. The role offers a collaborative environment for trailblazers to apply state-of-the-art research in a setting that values deep technical expertise and ethical AI development.

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. The position involves designing and deploying large language model infrastructure, including training, inference, and optimization techniques to enhance performance and reduce costs. Key responsibilities include collaborating with cross-functional teams to deliver AI-powered products, implementing guardrails and governance frameworks, and leveraging technologies like PyTorch and AWS to solve complex engineering challenges. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation, technical excellence, and ethical AI deployment. While the listing mentions specific locations, the team operates with a focus on high-impact, scalable solutions that directly improve customer experiences.

This full-time 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. The position involves 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 role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This senior distinguished engineering role focuses on architecting and scaling foundational compute infrastructure for Capital One's enterprise AI and machine learning platform. The position involves designing highly available, multi-tenant systems using distributed frameworks like Ray and Spark, while optimizing performance for large-scale model training and inference workloads. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects involving generative AI and transformer models. The role appeals to technical leaders seeking to shape the future of responsible AI in banking, offering the opportunity to mentor talent, influence system design, and work within a collaborative culture that values innovation. This position is eligible for remote work, allowing engineers to contribute to high-impact technology solutions from anywhere.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and low latency. The position requires collaborating with cross-functional teams to integrate advanced technologies like PyTorch and vector databases while contributing to the long-term technical vision of the organization. The role is appealing for its opportunity to lead breakthrough product experiences that transform banking, offering a culture that values innovation, technical excellence, and responsible AI deployment. The position is based in major hubs including Cambridge, McLean, or New York.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing multi-agent systems and knowledge graph technologies to transform banking operations. The position involves building scalable AI architectures using frameworks like LangGraph and MCP, designing foundation models from design through implementation, and collaborating with cross-functional teams to deliver intelligent customer experiences. The role appeals to candidates passionate about pushing the boundaries of AI research, offering the opportunity to work with cutting-edge tools on high-impact problems that redefine software development and customer service. The position requires a strong engineering mindset to deploy models at scale and supports a culture of innovation where emerging technologies are continuously evaluated and applied to real-world business challenges.

The Applied Researcher I role is based within the AI Foundations team at Capital One, focusing on developing trustworthy and reliable AI systems for the banking sector. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning to reimagine customer experiences. It offers a collaborative environment where researchers can own their agendas and work on high-impact projects that combine academic rigor with real-world application.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale artificial intelligence systems to transform banking experiences. The position involves partnering with cross-functional teams to build AI 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 passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art projects that directly impact customer interactions. It emphasizes a culture of innovation, leadership, and continuous learning within a collaborative environment dedicated to trustworthy and reliable AI.

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, leveraging technologies like PyTorch and AWS to analyze vast datasets, and collaborating with cross-functional teams to deploy AI solutions into production. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact research that directly influences customer interactions. The role emphasizes a culture of innovation and ethical AI development, providing a platform to lead research agendas and solve undefined problems in a collaborative environment.

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-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, implementing state-of-the-art research in production environments, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters while driving meaningful change in customer experiences. It offers a collaborative culture that values innovation and technical excellence, with a hybrid work arrangement based on the specific location.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and cost-efficiency. The position requires collaborating with cross-functional teams to integrate proprietary AI solutions while contributing to the long-term technical vision. The role is appealing for its opportunity to lead breakthrough product experiences that reimagine banking, offering a chance to work with cutting-edge technologies like PyTorch and AWS Ultraclusters in a culture that values responsible AI innovation and technical excellence.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible large language model infrastructure and foundation model hosting. Key responsibilities include designing and deploying AI software components such as LLM inference, similarity search, and guardrails, while optimizing system performance for latency and cost using technologies like PyTorch and AWS. The position appeals to candidates seeking to lead technical vision for high-impact banking applications that enhance customer experiences. The role offers a collaborative environment where engineers can apply cutting-edge research to solve undefined problems and mentor teams, with opportunities to work on proprietary solutions that serve millions of users.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable Gen AI platform services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and implementing guardrails using technologies like PyTorch and AWS. Key responsibilities include optimizing model performance for cost and latency, contributing to the technical roadmap, and collaborating with cross-functional partners to deliver innovative banking solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment that values technical excellence and ethical AI development. It offers the opportunity to lead the creation of transformative customer experiences while working with a world-class engineering team.