Top AI & Machine Learning Jobs in San Francisco, CA

As an AI Applications Engineer, you'll partner with internal teams to prototype and deliver AI solutions that drive business impact, focusing on end-to-end solution development and cross-functional collaboration.

Work on AI-powered product features using LLMs and embeddings. Prototype, ship, and productionize model integrations, improve model performance/latency/cost, build evaluation frameworks, and contribute to monitoring, reliability, and UX alongside cross-functional teams.

Conduct end-to-end qualitative and quantitative research to improve Notion's AI-powered features. Study human–AI workflows, run discovery, usability, and post‑ship evaluations, partner with Design/Product/Engineering/Data Science, communicate insights creatively, and connect research findings to measurable business outcomes.

The Model Behavior Engineer at Notion will ensure high-quality AI experiences through context engineering, data analysis, evaluative strategies, and collaboration with AI research labs. Responsibilities include designing tests, debugging, measuring quality, and developing systems to operationalize AI performance. This role blends product thinking with analytical skills to drive enhancements for AI tools.

As an AI Product Engineer, you will build AI-powered features for Notion's Custom Agents, enhancing workflows through LLMs and integrations.

Build and scale core AI platform primitives and integrations to help product teams ship features faster and safely. Own production systems, observability, diagnostics, and reliability; manage model/provider rollouts, versioning, and quality gates. Partner across infrastructure, libraries, APIs, and product teams to improve latency, cost, and adoption.

Lead UX research to define and scale evaluation frameworks for Notion's AI experiences. Run longitudinal and feature-specific studies, create reusable rubrics and measurement approaches, identify failure modes and recovery behavior, and operationalize human-in-the-loop evaluation with product, design, engineering, and data science partners.