2025 Applied Scientist Internship, Amazon University Talent Acquisition

2025 Applied Scientist Internship, Amazon University Talent Acquisition

Job ID: 2792045 | Amazon Web Services Development Center Germany GmbH - R28

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.

Key job responsibilities:

1. Own the design and development of end-to-end systems.
2. Write technical white papers, create roadmaps, and drive production level projects that will support Amazon Science.
3. Work closely with Amazon scientists and other science interns to develop solutions and deploy them into production.
4. Design new algorithms, models, or other technical solutions while experiencing Amazon’s 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 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 for full-time internships. This role may be 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

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

PREFERRED QUALIFICATIONS

- 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 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.

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Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.