Ph32026 Applied Scientist Intern, Amazon University Talent Acquisition /h3 pJob ID: | Amazon EU SARL (Italy Branch) - D68 /p pAre 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! /p pWe 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. /p pYou can find more information about the Amazon Science community as well as our interview process via the links below:br/ /p h3Key Job Responsibilities /h3 pAs 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. /p pYou 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. /p pThe ideal intern must have the ability to work with diverse groups of people and cross‑functional teams to solve complex business problems. /p h3A Day in the Life /h3 pAt 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. /p pHow often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. /p h3Benefits /h3 ul liAll of our internships offer a competitive stipend/salary /li liInterns are paired with an experienced manager and mentor(s) /li liInterns receive invitations to different events such as intern program initiatives or site events /li liInterns can build their professional and personal network with other Amazon Scientists /li liInterns can potentially publish work at top‑tier conferences each year /li /ul h3About the Team /h3 pApplicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. /p pStart dates are available throughout the year and durations can vary in length from 3‑6 months for full‑time internships. /p pThis 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). This is not a remote internship. /p h3Basic Qualifications /h3 ul liExperience programming in Java, C++, Python or related language /li liEnrolled in a PhD or Master’s degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields /li /ul h3Preferred Qualifications /h3 ul liHave publications at top‑tier peer‑reviewed conferences or journals /li liExperience in designing experiments and statistical analysis of results /li liExperience implementing algorithms using toolkits and self‑developed code /li liExperience in solving business problems through machine learning, data mining and statistical algorithms /li /ul pAmazon 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 ( ) to know more about how we collect, use and transfer the personal data of our candidates. /p pOur 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. /p pbPosted: /b April 3, 2026 (Updated 3 days ago) /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status. /p /p #J-18808-Ljbffr