Applied Scientist Intern, International Technology, 2026 Beijing

Amazon Amazon · Big Tech · 11, China +1 · Applied Science

The Applied Scientist Intern will work on improving Amazon's product search service by designing and integrating machine learning models using TB-scale data. The role involves balancing business metrics and response times, and requires a PhD student in Computer Science, AI, ML, or related fields with experience in ML experiment design, statistical analysis, and coding.

What you'd actually do

  1. design machine learning models based on TB-scale product and traffic data
  2. integrate these models into the search engine to serve customers
  3. complete the closed loop through data, modeling, and customer feedback
  4. balance business metrics and response time needs in model selection

Skills

Required

  • PhD student in Computer Engineering, Computer Science, Machine Learning, AI, or related fields
  • Experience in designing machine learning experiments and statistical analysis
  • Experience implementing algorithms with code and tools
  • Experience with Java, C++, or other programming languages, and Python or similar scripting languages

Nice to have

  • Publication record in top-tier conferences or journals
  • Strong technical vision
  • Ability to discuss concepts and algorithms in depth with technical team members
  • Ability to propose appropriate solutions to applied problems
  • Excellent critical thinking skills
  • Ability to clearly communicate technical solutions verbally and in writing to the team

What the JD emphasized

  • PhD student
  • TB-scale product and traffic data
  • balance business metrics and response time needs

Other signals

  • design machine learning models
  • integrate these models into the search engine
  • TB-scale product and traffic data
  • balance business metrics and response time needs