Staff Machine Learning Engineer, Programmatic Ads

This role is based in San Francisco, Palo Alto, or Seattle.

Compensation:

$222,716—$389,753/year

Responsibilities:

• Design and implement algorithms for real-time bidding, ad scoring/ranking, and yield optimization.
• Own end-to-end ML systems including problem framing and model training.
• Partner with Ads Ranking & Bidding and Programmatic Engineering teams.

Requirements:

• Experience building large-scale production ML systems in ads or related domains.
• Deep experience with control/optimization algorithms.
• Degree in Computer Science, Statistics, or a related field.