ppAre 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! /p pWe 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 adecuado intern can collaborate with diverse groups and cross‑functional teams to solve complex business problems. /p h3Key Responsibilities /h3 ul liDesign, develop, and deploy end‑to‑end systems. /li liWrite technical white papers and create project roadmaps. /li liCollaborate with Amazon scientists and interns to implement solutions. /li liDesign new algorithms and models for production use. /li liWork cross‑functionally to solve complex business problems. /li /ul h3Benefits of an Amazon Science Internship /h3 ul liCompetitive stipend/salary. /li liPairing with an experienced manager and mentor(s). /li liInvitations to various intern program initiatives and site events. /li liOpportunity to build a professional and personal network with Amazon Scientists. /li liPotential to publish work at top tier conferences each year.



/li /ul h3About the Team /h3 pApplicants 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. /p h3Basic Qualifications /h3 ul liExperience programming in Java, C++, Python, or a 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 liPublications at top‑tier peer‑reviewed conferences or journals. /li liExperience designing experiments and statistical analysis of results. /li liExperience implementing algorithms using toolkits and self‑developed code. /li liExperience solving business problems through machine learning, data mining, and statistical algorithms. /li /ul pAmazon 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. /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 pbCompany /b - Amazon Spain Services, S.L.U. - B76 /p /p #J-18808-Ljbffr

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