Description

Are you a MS or PhD student interested in a 2026 Research Science Internship, where you would be using your experience to initiate the design, development, execution and implementation of scientific research projects? If so, we want to hear from you!

Is your research in machine learning, deep learning, automated reasoning, speech, robotics, computer vision, optimization, or quantum computing? If so, we want to hear from you!

We are looking for motivated students with research interests in a variety of science domains to build 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;

https://www.amazon.science/

https://amazon.jobs/content/en/career-programs/university/science

Key job responsibilities
As a Research Science Intern, you will have following key job responsibilities;
• Work closely with scientists and engineering teams (position-dependent)
• Work on an interdisciplinary team on customer-obsessed research
• Design new algorithms, models, or other technical solutions
• Experience Amazon's customer-focused culture

A day in the life
At Amazon, you will grow into the high impact person you know you’re 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, you’ll 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.

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.

Basic Qualifications

- Are enrolled in a Master's degree or above in computer science, machine learning, engineering, or related fields
- Experience with any programming language such as Python, Java, C++

Preferred Qualifications

- Knowledge of machine learning processing: computer vision, NLU, NLP or operations research
- Experience data exploration and visualization in one or more of: Pandas, Matplotlib or Tableau

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

2026 Research Scientist Internship

Amazon University Talent Acquisition

Amazon

Description

Basic Qualifications

Preferred Qualifications