Jobs at San Francisco Foundation

The Senior Director, Applied Research role leads the AI Foundations team at Capital One, driving strategic direction for trustworthy and reliable AI systems within the banking sector. Key responsibilities include managing teams of applied scientists, building AI foundation models from design through implementation, and collaborating with cross-functional groups to deliver high-impact products that transform customer experiences. The position appeals to leaders passionate about emerging technologies, offering the opportunity to represent the company in the global research community and mentor talent while working with advanced tools like PyTorch and AWS. This people management role focuses on translating complex research into tangible business goals and is based in various US locations including Cambridge, McLean, New York, Richmond, and San Francisco.

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 partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This lead AI engineering 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, including model training, similarity search, and guardrails, while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance, latency, and cost, as well as contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to work on high-impact problems in a collaborative environment that values responsible AI. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying trustworthy, large-scale AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build foundation models from design through production, leveraging technologies like PyTorch and AWS to extract insights from massive datasets. Key responsibilities include conducting high-impact research on emerging AI methods, optimizing training and inference for deep learning models, and translating complex technical concepts into tangible business value. The role appeals to candidates seeking to work at the intersection of cutting-edge research and real-world application within a collaborative culture that values innovation, ethical AI practices, and professional growth. The position is based in McLean, New York, or San Jose, with opportunities to drive the next generation of customer-facing intelligent products.

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 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 innovation and high-impact applied research, offering the opportunity to work with state-of-the-art tools on massive datasets. The role supports a collaborative culture that values creative problem-solving and professional growth, with work arrangements typically based at specific office locations including Cambridge, McLean, New York, or San Jose.

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 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 ethical AI practices and continuous learning. While the position requires a PhD or equivalent experience, it offers the opportunity to lead impactful research agendas and contribute to scalable, high-performance infrastructure. The job is based in major US hubs including Cambridge, McLean, New York, and San Jose.

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 collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to solve complex, undefined challenges while contributing to the long-term technical vision. This opportunity appeals to candidates seeking to apply state-of-the-art research in a high-impact environment with a culture of innovation and ethical AI. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

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 Lead Machine Learning Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on productionizing AI systems at scale using AWS, Kubernetes, and frameworks like PyTorch and TensorFlow. Key responsibilities include designing ML architectures, building optimized data pipelines, automating model deployment through MLOps practices, and ensuring high availability and responsible AI governance. The position appeals to candidates seeking to lead cross-functional Agile teams in a collaborative environment where they can apply cutting-edge technology to solve complex business problems. The role offers significant opportunities for professional growth and innovation while working on proprietary solutions that impact millions of customers.

This Lead Machine Learning Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on productionizing AI applications at scale using AWS, Kubernetes, and frameworks like PyTorch and TensorFlow. Key responsibilities include designing ML architectures, building optimized data pipelines, automating model deployment through MLOps practices, and ensuring high availability and responsible AI governance. The position offers the appeal of working on cutting-edge technology that delivers value to millions of customers while fostering continuous learning and innovation. The team operates in an Agile environment with opportunities for cross-functional collaboration and technical leadership.

This Lead Machine Learning Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on productionizing AI applications at scale using AWS, Kubernetes, and frameworks like PyTorch and TensorFlow. The position involves designing ML architectures, building optimized data pipelines, and implementing MLOps practices to ensure high availability and responsible AI governance. Key responsibilities include developing scalable cloud-based solutions, automating model deployment and monitoring, and collaborating with cross-functional Agile teams to solve complex business problems. The role appeals to candidates seeking to lead technical innovation in a collaborative environment where they can apply cutting-edge machine learning engineering to impact millions of customers.

This Lead Machine Learning Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on productionizing AI applications at scale using AWS, Kubernetes, and frameworks like PyTorch and TensorFlow. Key responsibilities include designing ML architectures, building optimized data pipelines, automating model deployment through MLOps practices, and ensuring high availability and responsible AI governance. The position offers the opportunity to work on cutting-edge technology that delivers value to millions of customers while fostering continuous learning and innovation. As part of a collaborative Agile environment, the role emphasizes cross-functional teamwork and the chance to lead technical initiatives in a mission-driven organization.

This Lead AI/ML Engineer role within the Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure and platforms at Capital One. Key responsibilities include designing and deploying large language model systems, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools using technologies like Kubeflow and PyTorch. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. The role offers the opportunity to shape the long-term technical vision for AI while working in a collaborative environment that values innovation, quality, and the mission to transform banking for good.

The Sr. Distinguished AI Engineer role at Capital One is a senior leadership position within the Intelligent Foundations and Experiences team, focused on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and contributing to the long-term technical vision for foundational AI. The position appeals to candidates who thrive on solving undefined problems and applying cutting-edge research to real-world products. It offers the opportunity to work with a diverse stack of open-source and cloud technologies while influencing cross-functional stakeholders. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI foundation models to transform customer banking experiences. The position involves collaborating with cross-functional teams to design, train, and validate deep learning models using technologies like PyTorch and AWS, while translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI through high-impact research on topics such as large language models, graph neural networks, and training optimization. It offers the opportunity to work on cutting-edge infrastructure and contribute to industry-leading product innovations in a collaborative environment that values creativity, technical excellence, and ethical AI development.

This senior distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building a proprietary agentic AI platform to transform banking services. The position involves architecting core platform components such as agent orchestration, RAG pipelines, and multi-tenant policy enforcement while standardizing workflows across frameworks like LangGraph and AutoGen. Key responsibilities include developing a comprehensive GenAI SDK to accelerate prototyping, implementing central guardrail services for trust and safety, and optimizing system performance to reduce costs. The role is appealing for its opportunity to lead high-impact innovation in responsible AI, mentor senior engineering talent, and represent the company at major industry conferences. The position requires deep technical expertise in AI systems and offers a collaborative environment dedicated to reimagining customer experiences through scalable, secure technology.

The 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 infrastructure, 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 vector databases to deliver high-impact products. This opportunity appeals to candidates seeking to apply cutting-edge research in production while working in a collaborative environment that values technical excellence and innovation. The role offers the chance to shape the long-term technical vision of foundational AI systems at a leading financial institution.

The Distinguished AI Engineer 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 enhance scalability and cost-efficiency. 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. This opportunity appeals to candidates seeking to drive transformative change in banking through responsible AI, offering a chance to work on undefined, high-impact problems with a culture that values innovation, technical excellence, and ethical deployment.

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 designing and training large-scale AI foundation models, implementing agent protocols using frameworks like LangGraph, and collaborating with cross-functional teams to deploy scalable AI solutions. Key responsibilities include conducting high-impact research on emerging technologies, optimizing model performance, and translating complex technical concepts into tangible business value. The role appeals to innovators seeking to work at the intersection of advanced AI research and practical application in a collaborative environment. Candidates will have the opportunity to shape the future of customer experiences while working with cutting-edge tools in a culture that values creativity, ethical decision-making, and continuous learning.

The Applied Researcher I role is based within Capital One's AI Foundations team, focusing on developing trustworthy and reliable AI systems to transform banking experiences. 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, offering the opportunity to work on high-impact projects that redefine customer interactions. The role supports a collaborative culture that values innovation, ethical decision-making, and talent development, with opportunities to engage with state-of-the-art research and production environments.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable generative AI platform 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 vision for foundational systems. The role appeals to candidates passionate about applying cutting-edge research to real-world banking challenges, offering the opportunity to work with a broad stack of open-source and cloud technologies. The position supports a collaborative culture that values innovation, technical excellence, and the mission to transform customer experiences through reliable AI.

This full-time Lead 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 implementing governance and observability tools. The position leverages a modern stack of open-source and cloud technologies to deliver high-impact products. The role is appealing for its opportunity to pioneer state-of-the-art AI solutions in a collaborative environment that values technical excellence and ethical innovation. Candidates will work on undefined challenges with the freedom to shape the technical vision while contributing to a mission that brings humanity and simplicity to financial services.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on customizing and fine-tuning large language models to transform banking services. The position involves designing and deploying scalable AI infrastructure, including foundation model training, inference optimization, and implementing safety guardrails using technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance and contributing to the long-term technical roadmap for foundational AI systems. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can lead cross-functional initiatives and solve undefined, high-impact problems. The position offers the opportunity to work on responsible AI solutions that directly improve customer experiences while fostering a culture of innovation and technical excellence.