Senior Machine Learning Engineer, Growth
Core
Build and maintain the production ML infrastructure for growth initiatives, ensuring data integrity, automating training pipelines, and deploying models to batch scoring systems.
Role type
Senior Machine Learning Engineer (Production Infrastructure)
Builds
Reliable production ML pipelines, feature stores, and batch scoring systems for growth models.
Domain
Autonomous driving / Growth marketing / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, large-scale data processing (Spark, Beam, Flume), feature engineering, point-in-time correctness, model deployment, batch inference, data pipeline automation, production monitoring (drift detection), model registry management.
Preferred skills
Uplift modeling, causal inference, A/B testing, experience with feature stores, workflow orchestration (Airflow), distributed SQL databases.
Responsibilities
Own the feature layer between the Growth DB and models; build point-in-time correct training data; deploy trained models to production with validation checks; lead training automation (scheduled retrains, model registry); monitor models in production for drift and performance shifts.
Seniority
Senior, hands-on IC
