Top AI & Machine Learning Jobs in San Francisco, CA

Lead design, build, and operate scalable GenAI platform components including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Collaborate cross-functionally, invent LLM optimization techniques, and shape long-term technical vision for foundational AI systems.

Leads the design, development, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develops optimization techniques to improve scalability, latency, throughput, hardware utilization, and cost. Partners with research, engineering, product, and program teams; contributes to technical vision; and mentors engineers while applying emerging AI research in production.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

Conduct applied research and develop AI foundation models, including large language models and agentic AI systems. Responsibilities span model design, training, evaluation, validation, optimization, deployment, and scaling. The researcher collaborates with data scientists, engineers, and product managers to translate advanced AI research into customer-facing products, deliver platform and solution code, evaluate emerging methods, and independently pursue impactful research agendas.

Design, train, evaluate, and deploy large-scale AI foundation models (LLMs, vision, graph, sequential). Collaborate with cross-functional teams to productionize research, optimize training/inference, and translate research into customer-facing products. Drive applied research agenda, publish results, and contribute to platform and tooling.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.