2027 Applied Scientist Internship – PhD, Amazon University Talent Acquisition We're building systems that turn research into real-world impact — powering sports experiences for millions of Prime Video customers, pioneering multimodal document intelligence, building autonomous AI agents that reason, plan, and act, and transforming how customers discover products they love. If this sounds interesting to you then we have a range of opportunities for you to explore.
We're looking for PhD students across multiple research domains to invent, design, and implement state-of-the-art solutions for never-before-solved problems. Your work here won't just stay in a notebook — it ships to production and reaches customers worldwide.
Check out the details below including the job responsibilities, team details, and basic qualifications before submitting your application.
You can find more information about the Amazon Science community as well as interview preparation tips via the links below;

Key job responsibilities As an Applied Science Intern,

you will own the design and development of end-to-end systems. You'll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.
You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture.
The ideal intern should have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
A day in the life You'll spend your first weeks scoping your project with your mentor, then own the research and implementation end-to-end.
Your work could involve building computer vision models that power live sports experiences for Prime Video, developing multimodal GenAI solutions for AWS document intelligence, creating ag

2027 Applied Scientist Internship

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