2027 Applied Scientist Internship – PhD, Amazon University Talent Acquisition

Were 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.

Were 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 wont 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;

- job responsibilities
As an Applied Science Intern you will own the design and development of end-to-end systems. Youll 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 Amazons 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
Youll 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 agentic AI systems that reason and act autonomously or advancing recommendation models that transform how customers discover content depending on the team youre matched with.

Many interns publish at top-tier conferences or see their work deployed to production before the internship ends. Interns may also be considered for a return offer at the end of their internship subject to performance evaluation and headcount availability.

Further benefits of an Amazon Science internship include;

- All of our internships offer a competitive salary
- Interns are paired with an experienced manager and mentor(s)
- Interns get invited to different intern program or office events
- Interns can build their professional and personal network with other Amazon Scientists
- Interns can potentially publish work at top tier conferences

About the team
Were hiring interns for multiple teams in Israel including but not limited to;

Prime Video Sports Build innovative sports experiences for Prime Video spanning computer vision 3D simulation and personalized content recommendations.
Personalization Leverage LLMs NLP and recommender systems to match customers with products that align with their passions and shopping preferences.
Agentic AI Build next-generation agentic AI systems that automate real-world knowledge work spanning retrieval-augmented generation multi-agent workflows long-term memory and personalization knowledge-graph construction and agent evaluation.
DS3 Textract Develop multimodal generative AI algorithms that pioneer state-of-the-art document understanding solutions impacting millions of customers.

Youll submit a single application and well match you with science teams best aligned with your research interests.

Applications are reviewed on a rolling basis and your application stays active until we find a team match or confirm there are no matches available.

Start dates are available throughout the year. Some teams offer full-time internships (36 months) while others offer part-time positions (5060% 812 months) your recruiter will confirm the format during team matching.

We offer science internships in multiple locations across the EMEA region and you can indicate your interest in all these locations by applying here (Austria Estonia France Germany Ireland Israel Italy Jordan Luxembourg Netherlands Poland Romania South Africa Spain Sweden UAE and UK).

Please note we do not offer remote internships.

- Are enrolled in a PhD in computer science machine learning engineering or related fields
- Experience programming in Java C Python or related language
- Speak write and read fluently in English

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.