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Machine Learning Engineer, Campaign Optimization

 

Machine Learning Engineer, Campaign Optimization

San Francisco | California | United States

Pinterest is one of the fastest-growing online ad platforms and our success depends on mining rich user interest and intent data to connect Pinners with the most relevant advertisers. The Ad Campaign Optimization team develops models, systems and features that help advertisers maximize the return on investment of ad campaigns on Pinterest, through recommendations, tools, and insights.

What you’ll do:

  • Build and improve the machine learning systems for optimizing ad campaigns
  • Understand the ad stack at Pinterest and build systems that help advertisers get the most out of their ad spend on the platform.
  • Work with more junior engineers to mentor and grow the team
  • Work on large scale data systems, backend services, and product integration 
  • Work with Product, Design and Front End teams to bring your features to life

What we’re looking for:

  • MS or Ph.D. degree in Computer Science, Statistics, or related field
  • 6+ years of experience working with large-scale distributed systems
  • Strong industry experience in machine learning/information retrieval 
  • Preferred, but not required, background in computational advertising 

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