Senior Machine Learning Engineer

Role Overview

We are looking for a Senior Machine Learning Engineer to own one of the most important product bets we're making: replacing the narrow set of manual knobs our publishers use to drive revenue — per-line-item floors, bidder targeting, waterfall ordering — with ML-driven systems that optimize life-time customer value automatically.

What You Will Do

Design, train, evaluate, and ship the models that power the revenue-optimization product. Own the full lifecycle, from feature definition through production deployment and online evaluation.

Why It Might Be a Fit

We're looking for someone with hands-on experience actually training and deploying traditional machine-learning models. You'll be directly responsible for delivering this vision and will work directly with Product and with publishers to understand what's actually worth optimizing for and sequence the roadmap accordingly.

Requirements

• Hands-on experience actually training and deploying traditional machine-learning models
• Ability to take an ML system from 'theoretically promising' to 'demonstrably moving real revenue in production'
• Experience shipping ML into a production request path
• Experience owning the offline-to-online feature parity problem
• Experience running real experiments measuring real revenue impact
• Ability to get comfortable outside Python
• Hands-on expertise in machine learning engineering
• Strong written communication skills
• Early-stage mentality
• AI forward
• High ownership

Benefits

• Top-tier medical, dental, and vision benefits
• Generous hardware budget for a computer, monitor, and other core equipment necessary to work effectively on a remote team
• Equity compensation