Senior Machine Learning Engineer, Growth

📋 Description Own the feature layer between the Growth DB and the models. Work with data engineering on schema Build point-in-time correct training data, so a retrain sees each day as it was and does not leak Take models data science has trained and put them into production: validate against the offline Lead training automation: scheduled retrains, a model registry, and validation before a new model Monitor models in production: feature drift, score distribution shifts, and model versus random arm Be data science's day-to-day engineering counterpart, so feature and modeling questions do not 🎯 Requirements Experience at roughly building production ML systems: feature pipelines, training data generation Strong SQL and Python, plus large-scale data processing (Flume, Beam, Spark or similar). Designed feature schemas or worked on a feature store, and understands point-in-time correctness Productionized and owned the lifecycle of an existing offline model Worked with data scientists and can turn a loose feature request into a spec. 🎁 Benefits Waymo's discretionary annual bonus program Equity incentive plan Generous Company benefits program Opportunity to work for an autonomous driving technology company