Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems

Staff Applied ML Engineer focused on Intelligent Data, Signals & Systems to build production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities. Own end-to-end systems including feature and candidate generation through serving, experimentation, monitoring, and feedback loops; evaluate impact beyond short-term metrics (trust, fairness, risk, long-term engagement); collaborate with product, growth, data, platform, and risk/compliance teams to translate goals into measurable ML designs; leverage AI-assisted tooling to accelerate development and expose reusable capabilities to product services and internal tools.