Machine Learning Engineer, Search Features


Job Overview

About Pinterest :

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.

Pinterest Search helps users explore and find the things they love through a unique visual discovery experience. We’re working on all kinds of challenges to connect our 400M+ pinners with our high quality content through pins, pinners, and boards. You’ll join the Search Features team to help improve this experience end-to-end, from guiding Pinners to the best search query, to personalizing the search result page. We’re looking for a software engineer to help us solve these exciting Machine Learning challenges. 

What you will do:

  • Build user-facing search feature products that keep Pinners engaged with personalized and diversified content, e.g. autocomplete, search recommendations, and search personalization
  • Build a scalable system for whole-page optimization of search results
  • Tackle many unique challenges in the recommendation space, such as query understanding, diversification, safety, and personalization
  • Develop features and apply the latest advances in machine learning for search recommendations and personalization
  • What we’re looking for:

  • 5+ years working experience, with 3+ years relevant search/ranking/recommendation experience
  • Technical background in Machine Learning and Information Retrieval or experience working on large scale ranking systems
  • Experience with big data (spark, sparksql, hadoop)
  • Passion for applied ML and the Pinterest product
  • #L1-JY1

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