Pinterest is looking to build next-generation user understanding models and systems to deeply understand user interests, intents, and tastes, which will power personalization across Discovery, Ads, and Growth, ultimately delivering more relevant and personalized experiences to users.
Requirements
- 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 and a 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.
Responsibilities
- Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
- 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, ensuring measurable end-to-end impact on key metrics.
- Manage project execution and stakeholder communication, 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 in the field.
Other
- This position is not eligible for relocation assistance.
- US based applicants only
- The position is also eligible for equity.
- Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
