Are you a MS or PhD student interested in a 2026 internship in machine learning, deep learning, generative AI, large language models, 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 who can use a variety of domain expertise to invent, design, and implement state‑of‑the‑art solutions to never‑before‑solved problems. As an Applied Science Intern, you will 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. You will work closely with Amazon scientists and other interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions while experiencing Amazon’s customer‑focused culture. The idóneo intern can collaborate with diverse groups and cross‑functional teams to solve complex business problems.

Key Responsibilities

- Design, develop, and deploy end‑to‑end systems.
- Write technical white papers and create project roadmaps.
- Collaborate with Amazon scientists and interns to implement solutions.
- Design new algorithms and models for production use.
- Work cross‑functionally to solve complex business problems.

Benefits of an Amazon Science Internship

- Competitive stipend/salary.
- Pairing with an experienced manager and mentor(s).
- Invitations to various intern program initiatives and site events.
- Opportunity to build a professional and personal network with Amazon Scientists.
- Potential 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 from 3 to 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, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). These positions are not remote.

Basic Qualifications

- Experience programming in Java, C++, Python, or a related language.
- 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.

Amazon is an equal opportunity 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 ( to learn 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - Amazon Spain Services, S.L.U. - B76

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📌 2026 Applied Scientist Intern, Amazon University Talent Acquisition (Madrid)
🏢 Amazon
📍 Madrid