Engineering Manager II, Machine Learning – User Understanding

📋 Description

• Lead and mentor a team of experienced ML engineers in developing advanced user understanding models and systems integral to Pinterest products across Discovery, Ads, and Growth.
• Collaborate cross-functionally with Product, Data Science, and Engineering to define strategy, set priorities, and integrate user insights into core systems and features.
• Drive experimentation and adoption of new user understanding models with product teams, ensuring measurable end-to-end impact on key metrics.
• Manage project execution, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
• Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art.
• Foster a collaborative, inclusive, and high-performing team culture.

🎯 Requirements

• 6+ years of industry experience in applied machine learning or closely related roles, with large-scale ML for recommendation or ads systems.
• 2+ years of people management experience leading engineering teams.
• Demonstrated ML expertise with a track record of impactful solutions and deep understanding of large-scale distributed systems.
• Strong technical leadership, including driving technical direction, system architecture, and scalable ML solutions.

🎁 Benefits

• Hybrid/Remote options through PinFlex.
• Inclusive culture and equal opportunity employer.
• Collaborative, high-performing engineering environment focused on ML at scale.