Director of Algorithms, Ads Engineering

What you'll do

• Set the algorithms strategy and technical roadmap across the ads delivery funnel.
• Partner across engineering, product, privacy, and experimentation teams to deliver reliable production systems and measure outcomes.
• Lead, mentor, and grow engineering managers, scientists, ML engineers, and senior technical contributors.

What they ask for

• 15+ years of professional experience in Machine Learning, Applied Science, or Software Engineering, focused on performance advertising, search, or recommendation systems.
• 10+ years of engineering leadership, including managing managers and senior/staff-level individual contributors.
• Deep algorithms expertise and experience with embeddings, transformer architectures, distillation, and reinforcement learning methods.
• Experience building, deploying, and scaling high-throughput, low-latency ML systems in production.

Nice to have

• Experience with privacy-enhancing technologies (PETs) or ML under strict privacy constraints.
• Ads technology and domain experience; Ph.D. or Master's degree in a related quantitative field with relevant industry experience.

Pay

$311,100 and $496,900 USD base salary

Tools

Machine Learning, embeddings, transformer architectures, distillation methods, reinforcement learning

AI focus

Leads applied science and ML work on retrieval, ranking, matching, auctions, and budget optimization for advertising.