Machine Learning Engineer, Recommendations

We work with some of the largest datasets in the world: tailoring over 100 billion Pins, across 1 billion boards, for hundreds of millions of users, all while making billions of recommendations each day. You'll work on a small team to understand Pinner interests and intent to build the systems and machine learning models that drive recommendations to Pinners at scale. You'll apply state-of-the-art data mining and machine learning techniques to significantly increase our product search and recommendation relevance capabilities.

What you'll do:

  • Design and build machine learning systems that process and classify Internet-scale content
  • Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery and search
  • Evaluate potential improvements, prototype, validate, and productionize these strategies
  • Build and optimize systems, tools, and validation strategies to support new features
  • Use Big Data technologies (such as Hadoop, Spark, Storm) to build large scale data mining pipelines

What we're looking for:

  • 5+ years of software engineering experience
  • Experience working on production machine learning systems at scale, data mining, search, ranking, recommendations, and/or natural language processing
  • Understanding of an object-oriented programming language (Java, C++, Python)
  • Experience in MapReduce, Hadoop, and/or distributed systems

Meet Some of Pinterest's Employees

Tracy C.

Back-End Engineer

As a company that relies on a huge collection of images and an elegant user-interface, Pinterest needs engineers like Tracy to write the code that supports it.

Zach H.

Product Designer

As a Pinterest product designer, Zach works to build a coherent interface that doesn't interfere with Pinterest's true “designers”—its users.


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