2026 Applied Scientist Intern, Amazon University Talent Acquisition
Job ID: 3126153 | Amazon EU SARL (Italy Branch) - D68
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, 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 want to invent, design and implement state‑of‑the‑art solutions for never‑before‑solved problems.
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 cross‑functional teams to solve complex business problems.
A Day in the Life
At Amazon, you will grow into a high‑impact person, developing new skills and achieving personal growth, with work that changes the world.
Benefits
- Competitive stipend/salary.
- Mentoring from an experienced manager.
- Invitations to intern program initiatives and site events.
- Opportunities to build professional and personal networks with other Amazon scientists.
- Pipelines 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 research interests and experience before interviews. Start dates are available throughout the year; durations range from 3‑6 months for full‑time internships. The role may be available across multiple locations in the EMEA region, but are not remote.
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
- 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 opportunities employer. We make recruiting decisions based on experience and skills, and are committed to an inclusive culture. Please consult our Privacy Notice for more information on how we collect, use and transfer your data. If you have a disability and need a workplace accommodation, please visit the provided link for more information.
Amazon is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr