Staff Machine Learning Engineer

Overview: In this hands-on technical leadership role you own the architecture of the ranking and recommendation stack, aligning model families across retrieval, ranking, and intent understanding. You set technical direction with peers and mentors, driving end-to-end design, evaluation, and deployment. You’ll push for state-of-the-art advances in IR and recommender systems while raising engineering and operational standards. This role combines technical influence with cross-team collaboration to deliver long-term diner value through data-driven decision making. Compensation / Benefits equity 401(k) medical, dental, and vision plans short and long-term disability coverage paid time off and parental leave discounted meals and exclusive perks Responsibilities own end-to-end architecture of ranking and recommendation stack, including candidate retrieval, multi-objective ranking, calibration, and ensemble design define and influence cross-system design decisions beyond a single model lead evolution of optimization objectives toward long-term user value and oversee offline and online evaluation introduce state-of-the-art IR and recommender techniques into production, including LLM-driven queries and embedding-based retrieval raise engineering and operational standards: reproducible training pipelines, safe deployment, SLOs, observability, and debt management partner with Product, Search Engineering, Ads, and Data Platform to align roadmaps and ensure data/infrastructure readiness mentor senior and mid-level engineers, participate in hiring, and build technical depth across teams translate trade-offs into business terms and document rationale for durable decisions challenge assumptions and pursue meaningful innovation while monitoring performance