Staff Machine Learning Engineer, User Understanding

Hands-on experience developing and deploying large-scale machine learning systems in search, recommendation or advertising. Demonstrated ML expertise with a proven track record of impactful solutions. Deep understanding of large scale distributed systems. 6+ years of industry experience in applied machine learning or closely related roles. Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions. Bachelor’s/Master’s degree in a relevant field such as computer science or equivalent experience.

Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems. Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features. Drive experimentation and adoption of new user understanding models with product teams across Pinterest. Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates. Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.