Growth ML Engineer — Production ML & Feature Store

Waymo LLC; Mountain View (CA); Híbrido; USD 175 000 - 215 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Annual bonus

Equity incentives

Company benefits

Resumo da oferta

Waymo LLC is seeking a Growth Machine Learning Engineer in Mountain View, CA to own feature pipelines between Growth DB and ML models, build time-consistent training data, and deploy models into production with checks and monitoring. You will lead retraining automation, manage a model registry, and ensure data integrity across training and scoring.

Ideal candidates have strong SQL/Python skills, experience with large-scale data processing (Flume/Beam/Spark), and prior work on feature stores with

Qualificações

• Experience building production ML systems: feature pipelines, training data generation, batch inference.
• 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 and train/serve skew from having fixed them.
• Productionized and owned the lifecycle of an existing offline model
• Worked with data scientists and can turn a loose feature request into a spec.

Responsabilidades

• Own the feature layer between the Growth DB and the models. Work with data engineering on schema design for ML features, and with data science to turn their feature lists into versioned feature definitions that training and scoring both read from.
• Build point-in-time correct training data, so a retrain sees each day as it was and does not leak future data.
• Take models data science has trained and put them into production: validate against the offline results, wire them into batch scoring, and add input and output checks that stop a bad run before promos go out.
• Lead training automation: scheduled retrains, a model registry, and validation before a new model version is promoted.
• Monitor models in production: feature drift, score distribution shifts, and model versus random arm results.
• Be data science's day-to-day engineering counterpart, so feature and modeling questions do not queue behind the tech lead.

Conhecimentos

SQL

Python

Data processing

Feature store

Point-in-time correctness

Training data generation

Ferramentas

Airflow

Spark

Flume

Beam

Descrição da oferta de emprego

Waymo LLC is seeking a Growth Machine Learning Engineer in Mountain View, CA to own feature pipelines between Growth DB and ML models, build time-consistent training data, and deploy models into production with checks and monitoring. You will lead retraining automation, manage a model registry, and ensure data integrity across training and scoring.

Ideal candidates have strong SQL/Python skills, experience with large-scale data processing (Flume/Beam/Spark), and prior work on feature stores with