Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.

Design and build services, APIs, frameworks, and UIs; lead development of user interfaces and features; collaborate with teams on core platforms; contribute to backend services and data models.