Top AI & Machine Learning Jobs in San Francisco, CA

Work on AI-powered Notion features: prototype and ship model-powered product improvements, integrate and productionize models, improve model performance and reliability, and build evaluation frameworks and experiments to measure and improve quality.

Lead UX research to define and scale evaluation of Notion's AI experiences. Create reusable rubrics and measurement approaches, run longitudinal and feature-specific studies, identify failure modes and recovery behaviors, and operationalize evaluation with product, design, engineering, and data science partners to improve model output quality and end-to-end user experience.

Owner of Notion AI quality: design and iterate prompts and context strategies, analyze production data, build evals and metrics, evaluate/launch models with labs, and drive cross-functional quality improvements.

Build and scale core AI platform primitives and integrations to enable rapid, safe AI product development. Own infrastructure, shared libraries, APIs, observability, and reliability systems; operate production AI systems, debug provider/model behavior, and implement versioning, rollout controls, and quality gates to minimize user disruption.

The AI Applications Engineer will prototype AI-driven solutions, collaborate with stakeholders, and create reusable components to address business challenges.

As an AI Product Engineer, you'll build and scale AI-powered features for Notion's Custom Agents, collaborating with teams to enhance user experience and implementing cutting-edge technologies.