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Applied Scientist Intern, Amazon University Talent Acquisition
Job Description & How to Apply Below
Job Overview
We are looking for MS or PhD students interested in a 2026 internship in machine learning and allied fields. The internship involves inventing, designing, and implementing state‑of‑the‑art solutions for never‑before solved problems within Amazon Science.
Responsibilities
Own the design and development of end‑to‑end systems.
Write technical white papers, create roadmaps, and drive production‑level projects.
Collaborate with Amazon scientists and other interns to develop solutions and deploy them in production.
Design new algorithms, models, or other technical solutions.
Work with diverse cross‑functional teams to solve complex business problems.
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.
Benefits
Competitive stipend/salary.
Pairing with an experienced manager and mentor(s).
Involvement in internship initiatives or site events.
Opportunity to build a professional and personal network with other Amazon Scientists.
Potential to publish work at top‑tier conferences each year.
More Information
Start dates are available throughout the year and durations range from 3‑6 months for full‑time internships. The role is 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 are not remote internships.
Equal Opportunity Employment
Amazon 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.
Privacy Notice:
Please consult our Privacy Notice to learn more about how we collect, use, and transfer the personal data of our candidates.
Accommodations:
If you have a disability and need a workplace accommodation during the application and hiring process, please visit the accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your recruiting partner.
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