Director, Applied Science - Ad Optimization & ML Systems

About the role

Leads the applied science work behind real-time programmatic ad prediction and bid optimization, owning the models, the production systems that serve them, and the team that builds them. This hands-on player-coach role requires 10+ years of production ML experience, 5+ in technical leadership, and experience with high-scale, latency-constrained decisioning systems.