Senior Machine Learning Engineer, Ads Optimization

This role is part of the Ads Optimization organization, which designs the auction and bidding mechanisms that determine which ads are shown, builds optimization systems for advertiser goals like conversions and ROAS under budget constraints, and works to improve marketplace quality and user experience with ads. The engineer will design and implement optimization algorithms for auctions, bidding, and budget pacing, owning systems from problem formulation through production deployment, while collaborating with Product, Data Science, and Infra teams.

• 5+ years building and operating production ML systems (for this senior/IC4 level), strong programming skills in Python, Java, Go or similar, experience with scalable data systems (Spark, Kafka, Airflow, BigQuery, Redis), and ability to translate ambiguous business problems into measurable solutions. Strong math/optimization background is valued, such as a quantitative degree or experience in bidding, pricing, or logistics optimization, plus comfort implementing custom optimization logic rather than relying solely on black-box tools.