Director, Machine Learning Engineering, Programmatic Ads

Pinterest • Los Angeles, WA

14d • Hybrid

About The Position

Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers/ products. We’re looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You’ll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest’s business success.

Requirements

• M.S/ PhD degree in Computer Science, Statistics or related field
• 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
• Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics and yield optimization
• Excellent at cross-functional collaboration and stakeholder communication

Responsibilities

• Manage and grow the engineering team, providing technical vision and long-term roadmap
• Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP
• Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution.
• Collaborate across Product, Engineering, Marketing and Sales – translating business goals into ML requirements and ensuring solutions meet cross-functional needs
• Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features)

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Ph.D. or professional degree