Machine Learning Engineer, Recommendations

San Francisco

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.

 

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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

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Other information

If you haven't already, try it out! Understanding the product will help you work through some of our interview questions.

We’re looking for all kinds of people



To build an app that’s used and loved by people all around the world, we need a team with all kinds of different perspectives, experiences and backgrounds.



To put it legally: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best people in every job. Pinterest policy prohibits unlawful discrimination based on race, color, religious creed, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by federal, state or local laws. It also prohibits discrimination based on a perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful.