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Machine Learning Engineer, Ads Relevance

 

Machine Learning Engineer, Ads Relevance

San Francisco | California | United States

Pinterest is on a mission to help millions of people across the globe to find the inspiration to create a life they love. Within the Ads Quality team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. You are responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads Quality. You’ll work on tackling new challenges in machine learning and deep learning to advance the statistical models that power the relevance and delivery of the ads that bring together Pinners and partners in this unique marketplace. 

What you’ll do:

  • Scale the measurement of ads relevance by augmenting the human eval datasets with more content-based and engagement-based datasets.
  • Develop precise relevance measurement solutions that are sensitive to A/B tests and build state-of-the-art machine learning models to predict relevance.
  • Drive cross-functional collaboration with peers and partners across the company to enhance the state of the art in deep learning and machine learning at Pinterest. 

What we’re looking for:

  • PhD degree in Computer Science, Statistics or related field
  • 6+ years of relevant industry experience
  • Hands-on experience with building large-scale online machine learning applications.
  • Strong mathematical skills with knowledge of statistical methods
  • Cross-functional collaborator and strong communicator
  • Preferred, but not required, background in computational advertising

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