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Software Engineer, Recommendations & Search Infra


Software Engineer, Recommendations & Search Infra

San Francisco | California | United States

This team operates over a very large scale of hundreds of millions of requests and billions of documents. Our next steps are reducing E2E content distribution delay, applying cutting-edge technologies to support various types of content retrieving and dramatically improving our results by customizing them to a particular user. We will build E2E Realtime/Near Realtime content ingestion and serving infrastructure, need to support embedding based retrieving and build full stack capable of combining traditional information retrieval technologies with efficient user personalization models. Besides, we need to keep improving performance, stability and cost efficiency of the core system.

What you'll do:

  • Work closely with the operations side to enhance the performance, reliability and cost efficiency of the core system.
  • Work with all partner teams including homefeed, search, ads and etc. to build advanced functionalities on the core system.
  • Develop a very large scale system utilizing clusters of machines to implement a custom full stack content distribution strategy involving indexing, retrieval, lightweight scoring, full scoring and result set analysis as well as query understanding.
  • Reduce E2E content distribution delay and enable result set personalization
  • Develop unified serving platform to support Pinterest discovery products. 

What we’re looking for:

  • 5 years of relevant industry experience, with hands-on technical knowledge and skills related to infrastructure.
  • Experience in the design, implementation and delivery of sophisticated production infrastructure systems.
  • Programming experience in C++/Java and knowledge of low level resource management.


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