About the position
Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. The user understanding team builds cutting edge user understanding models and systems to deeply understand the evolving interests, intents and tastes of our 500M+ users, which power personalization of Pinterest products across Discovery (feed, Search, Related Pins), Ads, Shopping and Growth. As the senior engineering manager of the user understanding team, you'll set technical vision and lead the team to build the next generation user understanding models and systems, and work with many cross functional partners to deliver more relevant and personalized results to our pinners.
Responsibilities
- Lead a team of experienced ML & backend engineers to build cutting edge user understanding models and systems, which are widely incorporated in Pinterest products across Discovery (feed, Search, Related Pins), Ads, Shopping and Growth.
- Partner closely with vertical teams across Pinterest to experiment new ML models / systems and deliver end-to-end metric impact.
- Be a thought leader on user modeling and recommender systems, set and execute technical vision, and improve state-of-the-art technology.
- Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
- Hire, mentor and grow managers, leaders and engineers on the team. Build a culture of excellence and expertise.
Requirements
- Experience leading eng teams on large-scale ML recommendation or ads systems.
- Domain expertise on ML. Experience in areas such as user modeling, NLP and recommendation systems is a bonus.
- Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
- 5+ years of experience managing an ML engineering team working on production ML systems.
- 10+ years of industry experience.
- Bachelor's or Master's degree in a relevant field such as computer science, or equivalent experience.
Benefits
- Equity eligibility
- Flexible work model (PinFlex)
