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 interested in using a variety of domain expertise to invent, design and implement state-of-the‑art solutions for never‑before‑solved problems.
You can find more information about the Amazon Science community as well as our interview process via the links below:
Key Job Responsibilities
As an Applied Science Intern, you will own the design and development of end‑to‑end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production‑level projects that will support Amazon Science.
You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst 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 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
- 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 networ
📌 2026 Applied Scientist Intern, Amazon University Talent Acquisition (Italia)
🏢 Amazon
📍 Italia
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