Senior Engineering Manager, Homefeed Ranking at Pinterest
San Francisco, CA, US

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. As a Pinterest employee, 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 users make their lives better in the positive corner of the internet.

Homefeed is a discovery platform at Pinterest that helps users find and explore their personal interests. We work with some of the largest datasets in the world, tailoring over billions of unique content to 330M+ users. Our content ranges across all categories like home decor, fashion, food, DIY, technology, travel, automotive, and much more. Our dataset is rich with textual and visual content and has nice graph properties — harnessing these signals at scale is a significant challenge. The homefeed ranking team focuses on the machine learning model that predicts how likely a user will interact with a certain piece of content, as well as leveraging those individual prediction scores for holistic optimization to present users with a feed of diverse content.

What you’ll do:

  • Technical lead and engineering manager for the Homefeed Ranking team in San Francisco
  • Help drive technical strategy and longer term vision for machine learning and recommendation at Pinterest
  • Lead a senior team of 10 Machine Learning engineers
  • Hands-on role, spending 60% time on technical leadership/IC work and 40% time on people management
  • Use machine learning / deep learning techniques to solve of the most large scale recommendation problems in the industry
  • Collaborate with partner teams like product, data science, business, ads

What we’re looking for:

  • Graduate degree plus 5+ years of industry experience 
  • Technical lead experience and some engineering management experience 
  • Strong machine learning background within ranking, recommendations, optimization or similar ML problems