Growth ML Engineer — Production Features & Equity

Waymo LLC; San Francisco (CA); Hybride; USD 175 000 - 215 000; Plein temps

Avantages offerts par ce poste

Annual bonus program

Equity incentive plan

Generous benefits program

Résumé du poste

Waymo LLC is seeking a Growth ML Engineer to join the Growth Machine Learning Engineering team. You will shape the feature layer, collaborate with data engineering, and ensure training data quality for production models.

You will deploy models into batch scoring, implement input/output checks, and lead automated retraining and model registry efforts to keep promotions accurate and scalable.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

SQL

Python

Large-scale data processing

Feature store experience

Production ML systems

Data pipelines

Outils

Flume

Beam

Spark

Airflow

Distributed SQL databases

Description du poste

Waymo LLC is seeking a Growth ML Engineer to join the Growth Machine Learning Engineering team. You will shape the feature layer, collaborate with data engineering, and ensure training data quality for production models.

You will deploy models into batch scoring, implement input/output checks, and lead automated retraining and model registry efforts to keep promotions accurate and scalable.