2025 Applied Scientist Internship, Amazon University Talent Acquisition, Amazon University Talent Acquisition

Are you a MS or PhD student interested in a 2025 Internship in the field of machine learning deep learning speech robotics computer vision optimization quantum computing automated reasoning or formal methods If so we want to hear from you!

We are looking for students interested in using a variety of domain expertise to invent design and implement state-of-the-art solutions for never-before-solved problems.

You can find more information about the Amazon Science community as well as our interview process via the links below;



Key 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 must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.


A day in the life
At Amazon you will grow into the high impact visionary person you know youre ready to be. Every day will be filled with developing new skills and achieving personal growth.

How often can you say that your work changes the world At Amazon youll say it often. Join us and define tomorrow.


Some more benefits of an Amazon Science internship include;
All of our internships offer a competitive stipend/salary
Interns are paired with an experienced manager and mentor(s)
Interns receive invitations to different events such as intern program initiatives or site events
Interns can build their professional and personal network with other Amazon Scientists
Interns can potentially publish work at top tier conferences each year

About the team
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews.

Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.

This role may available across multiple locations in the EMEA region (Austria Estonia France Germany Ireland Israel Italy Luxembourg Netherlands Poland Romania Spain UAE and UK).

Please note these are not remote internships.

- Experience programming in Java C Python or related language
- Enrolled in a PhD or Masters degree in Computer Science Machine Learning Engineering Operations Research Statistics or related fields

- 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

Amazon est un employeur engag pour lgalit des chances. Nous sommes convaincus quune main doeuvre diversife est essentielle notre russite. Nous prenons nos dcisions de recrutement en fonction de votre exprience et de vos comptences. Nous apprcions votre envie de dcouvrir dinventer de simplifier et de construire. La protection de votre vie prive et la scurit de vos donnes constituent depuis longtemps une priorit absolue pour Amazon. Veuillez consulter notre Politique de Confidentialit pour en savoir plus sur la faon dont nous collectons utilisons et traitons les donnes personnelles de nos candidats.

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.