Pinterest is seeking a highly technical Engineering Manager to lead a team of machine learning researchers and engineers within the Applied Science team. This role focuses on developing modern recommendation systems that align with Pinterest's mission of inspiring creativity. The manager will balance immediate business needs with long-term strategic breakthroughs while collaborating with various engineering teams. The ideal candidate will possess a deep understanding of machine learning technologies and a passion for innovation.

• 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data.
• 3+ years of direct people management experience.
• A track record of delivering high-impact initiatives across multiple product areas.
• Experience mentoring, coaching, and up-leveling software and machine learning engineers.
• Excellent communication skills with the ability to distill complex technical findings for leadership and product teams.
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field.

• Own the technical roadmap and strategic vision for Pinterest’s next-generation recommendation systems.
• Successfully transition breakthrough ML research into production-ready systems that directly impact core company metrics.
• Manage, inspire, and develop a talented team of machine learning researchers and engineers specializing in recommendation systems.
• Collaborate with Core Engineering, Ads Engineering, Infrastructure, Content, and Data Science teams to prototype, build, and scale solutions to complex engineering challenges.
• Partner with leadership to deepen user understanding and set the strategic direction for our recommendation system roadmap.