Applied Scientist, Search Ranking

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Builds ML models for Amazon's search ranking system, focusing on optimizing early stage ranking with efficient models and exploration techniques. Works with large datasets to understand customer behavior and collaborates with partner teams.

What you'd actually do

  1. build search ranking models that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world.
  2. find the next set of big improvements to ranking, leverage large datasets to understand the complexities of customer behavior, and build ML models that work at Amazon scale.
  3. developing efficient models and exploration techniques to optimize the early stage ranking phase.
  4. building ML models, analyzing data from your recent A/B tests, and collaborating with partner teams on joint goals.
  5. communicating your next big initiative.

Skills

Required

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • build search ranking models
  • ML models

Other signals

  • ML algorithms at Amazon's scale
  • build search ranking models
  • optimize the early stage ranking phase