Applied Scientist, Customer360

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

Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features.

What you'd actually do

  1. inventing, experimenting with, and launching new features, products and systems
  2. adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval and large language models
  3. collaborate with scientists, engineers, and product partners locally and abroad

Skills

Required

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 3+ years of building models for business application 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

  • define how AI remembers people
  • build systems that learn who the people in a customer's life are
  • disaggregating preferences for each and every customer and their loved ones
  • surfacing the most relevant knowledge

Other signals

  • LLMs
  • information retrieval
  • entity understanding
  • personalization
  • recommendations