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Build and operate Notion’s model layer by integrating frontier models, improving inference reliability, implementing failover and observability, and developing model-level capabilities. The role requires production experience with LLM APIs, evaluation-driven development, and strong judgment around latency, cost, reliability, and output quality. The engineer will also collaborate across AI teams to unblock adoption and ensure fixes are delivered.

Apply statistical inference and experimentation to evaluate product changes, identify Growth opportunities, and guide strategy. Partner with product, engineering, and marketing leaders to define metrics, build datasets and dashboards, and communicate insights that drive business and product decisions. The role requires SQL, scripting, data transformation, and practical tradeoffs between speed and accuracy. Predictive modeling experience is preferred, as are startup and B2B SaaS backgrounds.

Conduct data analyses, identify product and business improvement opportunities, communicate actionable recommendations, build metrics and dashboards, and support strategic decisions. The intern will collaborate cross-functionally with product and business teams, using SQL and scripting languages such as Python or R. The role is based in Notion’s San Francisco office from January 25 through April 16, 2027.

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.