This role has closed 2h ago. It is no longer on Amazon's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.

Verified by our engine · Posted 5d ago

Amazon

Applied Scientist Intern

Amazon · Applied Science

Zurich

Intern

AI / MLC++JavaPythonSQL

Last seen 6h ago

Posted
5d ago

Posted on 23 October 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see Amazon's open roles or the similar live roles below.

See Amazon's open roles

Are you a MS or PhD student interested in a 2026 Applied Science Internship in the field of Robotics?

Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products that improve the lives of people in a meaningful way?

If this describes you, come join our research teams at Amazon.

Key job responsibilities

As an Applied Science Intern, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.

We are looking for scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Are enrolled in a Bachelor's degree or above in computer science, machine learning, engineering, or related fields

High Degree of Proficiency in any programming language such as Python, Java, C++, SQL, Python, or similar scripting and programming languages

Experience in design of experiments and statistical analysis •Experience implementing algorithms using toolkits and self-developed code •Experience in solving business problems through machine learning, data mining and statistical algorithms •Familiar with the core undergraduate curriculum of computer science. •Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members. •Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

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.

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.

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About Amazon

Amazon hires more engineers in Europe than anyone else on this board, across Dublin, London, Berlin, Madrid, Luxembourg and Gdańsk. The breadth is the point: AWS infrastructure, retail systems, devices and logistics are very different jobs under one name, and team quality varies a lot between them. Worth filtering by role rather than browsing.