Senior Staff Machine Learning Engineer, Homefeed 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:

  • Work on state-of-the-art large-scale applied machine learning projects
  • Improve relevance and the user experience on Homefeed
  • Re-architect our deep learning models to improve their capacity and enable more use cases
  • Collaborate with other teams to build/incorporate various signals to machine learning models
  • Collaborate with other teams to extend our machine learning based solutions to other use cases

What we’re looking for:

  • Passionate about applied machine learning and deep learning
  • 8+ years experience applying machine learning methods in settings like recommender systems, search, user modeling, image recognition, graph representation learning, natural language processing