19 hours ago
Base Salary
$175k - $215k/yr
Responsibilities
- Own the feature layer between the Growth DB and models, including schema design and versioned feature definitions.
- Build point-in-time-correct training data and prevent leakage in retraining pipelines.
- Productionize data science models by validating offline results, wiring batch scoring, and adding input and output safeguards.
- Lead scheduled retraining, model registry, and model validation before promotion of new versions.
- Monitor feature drift, score distribution shifts, and model-versus-random-arm results in production.
- Partner day to day with data scientists to translate feature requests into engineering specifications.
Requirements
- Experience building production ML systems involving feature pipelines, training data generation, and batch inference.
- Strong SQL and Python skills and experience with large-scale data processing such as Flume, Beam, or Spark.
- Experience designing feature schemas or working with a feature store, including fixing point-in-time correctness and train/serve skew issues.
- Experience productionizing and owning the lifecycle of an existing offline model.
- Experience collaborating with data scientists and translating feature requests into specifications.
Benefits
- Hybrid work arrangement.
- Eligibility for a discretionary annual bonus program, equity incentive plan, and generous company benefits program, subject to eligibility requirements.
- Full-time position.
Tech Stack
Categories
Growth EngineeringML Engineering
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.