Staff Machine Learning Engineer, Ads Auction

What you'll do

• Design and optimize the core auction system to drive optimal outcomes for advertisers, users, and the platform.
• Develop production code to generate high-quality ad recommendations.
• Lead the development of advanced techniques and algorithms to improve the ad network.
• Conduct large-scale and complex experiments to analyze effects on the marketplace.
• Create an innovation roadmap across multiple technical domains in collaboration with product management.
• Deliver state-of-the-art capabilities that differentiate products and serve as core business components.
• Formulate and advocate for R&D objectives and results to executive leadership and cross-functional teams.

What we're looking for

• 8+ years of experience in online advertising, marketplace design, or large-scale recommendation/auction systems.
• Strong background in auction theory, mechanism design, optimization, statistics, or machine learning.
• Ability to implement research concepts into production quality code.
• Experience defining clear, testable research hypotheses with intended business impact.
• Deep knowledge of design of experiments and online experimentation approaches at scale.
• Ability to advocate for R&D objectives to cross-functional teams and executive leadership.
• Experience contributing to or reviewing research for top conferences and publications.
• Proficiency in Java or Python, and experience with Spark, Hadoop, or other distributed frameworks.
• Master's degree in a relevant quantitative field (Economics, Machine Learning, Statistics, etc.) or equivalent industry experience.
• Experience in ads optimization, recommendations, or search relevance optimization (preferred).
• PhD in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting, Optimization, or Reinforcement Learning (preferred).