Senior Applied Scientist II, Ads Optimization

We're hiring a Senior Applied Scientist II to lead the algorithmic direction of our systems for bid optimization, pacing, and budgeting for ads. The role requires a strong background in control theory, constrained optimization, and auction economics, and the ability to translate those frameworks into production code that makes millions of decisions per day.

Requirements

• MS or PhD in operations research, applied mathematics, control systems, computational economics, or a related quantitative field
• 8+ years of experience building and deploying optimization or control systems in production environments
• Strong foundation in at least two of: feedback control theory (PID, MPC), convex and stochastic optimization, auction theory and mechanism design, dynamic programming
• Proficiency in one of the following languages: Go, Java, C++ for production systems and Python for data analysis and offline pipelines
• Demonstrated ability to translate mathematical formulations into production code that runs at scale (millions of decisions per day, sub-100ms latency constraints)

Benefits

• Highly market-competitive compensation
• Equity grant
• Annual refresh grants