2026 Applied Scientist Intern, Amazon University Talent Acquisition

2026 Applied Scientist Intern, Amazon University Talent Acquisition

Job ID: AWS EMEA SARL (UK Branch) - F93

Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, 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.

Key information about Amazon Science community and interview process can be found through the following links:

Key Job Responsibilities

• Own the design and development of end-to-end systems; write technical white papers, create roadmaps and drive production-level projects that support Amazon Science.
• Work closely with Amazon scientists and other science interns to develop solutions and deploy them into production; design new algorithms, models, or other technical solutions while experiencing Amazon's customer-focused culture.
• Collaborate 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 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.

Benefits and Opportunities

• Competitive stipend/salary.
• Interns are paired with an experienced manager and mentor(s).
• Interns receive invitations to intern program initiatives or site events.
• Interns can build their professional and personal network with other Amazon Scientists.
• Interns have the opportunity to publish work at top-tier conferences each year.

About the Team

Applicants will be reviewed on a rolling basis and 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 be available across multiple locations in the EMEA region (list of countries). Please note these are not remote internships.

Basic Qualifications

• Experience programming in Java, C++, Python or related languages.
• Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields.

Preferred Qualifications

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

Equal Opportunity Employer: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Amazon values diversity and inclusivity. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.