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Software Engineer, Ads ML Infrastructure

 

Software Engineer, Ads ML Infrastructure

San Francisco | California | United States

Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You’ll join a small team, which designs high-performance, infrastructure systems, in order to power the most critical, revenue-generating algorithms at Pinterest.

 

What you’ll do

  • Architect infrastructure solutions that directly power new algorithms and deep learning models for feature engineering and model training.
  • Apply infrastructure optimizations to improve efficiency and performance for ads machine learning serving systems. 
  • Use modern stream processing frameworks to power pacing and delivery optimization algorithms, that directly improve revenue and ads quality.
  • Work closely with Ads quality teams, design developer solutions and tools to improve Ads machine learning innovation velocity. 
  • Partner with data and infrastructure teams inside PInterest, to up-level the development, deployment, and monitoring tools for all Ads Serving engineers.

 

What we’re looking for:

  • 5+ years of relevant industry experience
  • Extensive experience with large-scale distributed systems, such as batch/streaming data processing, machine-learning at scale, or high-traffic serving systems. 
  • Strong domain expertise in ads or e-commerce. Proficient at opportunity sizing, by combining data analysis with domain knowledge.
  • Strong communicator and team player. Being able to find solutions for open-ended problems.
  • Mastery of at least one systems languages (Java, C++, Go)

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