Senior Machine Learning Engineer, Growth

Highlights

• Own the ML feature layer powering model-driven growth and live promotions.
• Build point-in-time correct training data that eliminates future data leakage.
• Monitor production models for drift and stop faulty scoring before promos go out.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Company benefits program

Ideal candidate

A production-minded ML engineer who thrives partnering with data scientists and cares deeply about data integrity, reliability, and keeping growth models dependable at scale.

Requirements

• Experience building production ML systems including feature pipelines, training data generation and batch inference
• Strong SQL and Python with large-scale data processing experience
• Experience designing feature schemas or working with a feature store with understanding of point-in-time correctness and train/serve skew
• Experience productionizing and owning lifecycle of offline models
• Experience collaborating with data scientists to turn feature requests into specs