2026 Applied Scientist Intern, Amazon University Talent Acquisition

Amazon Amazon · Big Tech · Courbevoie, France · Applied Science

MS or PhD student internship focused on machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. The role involves designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Interns will work closely with scientists to develop and deploy solutions, design new algorithms and models, and potentially publish work at top-tier conferences.

What you'd actually do

  1. own the design and development of end-to-end systems
  2. write technical white papers, create roadmaps and drive production level projects that will support Amazon Science
  3. work closely with Amazon scientists and other science interns to develop solutions and deploy them into production
  4. design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture
  5. work with diverse groups of people and cross-functional teams to solve complex business problems

Skills

Required

  • MS or PhD degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
  • Experience programming in Java, C++, Python or related language

Nice to have

  • Publications at top-tier peer-reviewed conferences or journals
  • Experience in designing experiments and statistical analysis of results
  • Experience implementing algorithms using toolkits and self-developed code
  • Experience in solving business problems through machine learning, data mining and statistical algorithms

What the JD emphasized

  • state-of-the-art solutions
  • never-before-solved problems
  • end-to-end systems
  • production level projects
  • design new algorithms, models, or other technical solutions

Other signals

  • end-to-end systems
  • state-of-the-art solutions
  • new algorithms, models, or other technical solutions