Top AI & Machine Learning Jobs in San Francisco, CA

The role involves partnering with a cross-functional team to develop AI-powered products, applying state-of-the-art AI research, and delivering models at scale.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

Conduct applied research and build AI foundation models, particularly large language models and agentic AI systems, across design, training, evaluation, validation, and production implementation. Partner with data scientists, engineers, and product managers to deliver scalable AI products. Research optimization, fine-tuning, robustness, explainability, and related deep learning methods while translating technical findings into business outcomes and independently pursuing impactful research agendas.

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

Design, develop, test, deploy, and support production AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develop state-of-the-art optimization techniques to improve scalability, cost, latency, throughput, and hardware utilization. Shape the long-term technical roadmap for foundational AI platforms while collaborating with engineers, research scientists, program managers, and product managers. Lead and mentor engineering teams and influence senior cross-functional stakeholders.

Lead and mentor applied research teams to design, train, evaluate, validate, and deploy large-scale AI foundation models. Partner with cross-functional product and engineering teams to deliver production AI platforms, perform high-impact applied research, scale training and inference, and represent Capital One in the research community.

Design, develop, deploy, and support scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for latency, throughput, cost, scalability, and hardware utilization. Contribute to foundational AI strategy, collaborate cross-functionally, and lead or mentor engineering teams.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale production AI systems for scalability, latency, throughput, cost, and hardware utilization. Partner with engineers, scientists, technical program managers, and product managers while contributing to technical vision, roadmap development, and responsible AI practices. Lead and mentor engineering teams and apply emerging AI research to production systems.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.

Design, build, deploy, and maintain production ML systems and data pipelines at scale. Lead cross-functional teams to implement ML architectures, ensure model performance and governance, automate CI/CD for models, and leverage cloud platforms and ML frameworks to deliver reliable, explainable solutions.