2026 Applied Scientist Intern, Amazon University Talent Acquisition

About the role

We are looking for MS or PhD students 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. 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.

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 will 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 whilst experiencing Amazon's customer focused culture
• 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

• Competitive stipend/salary
• Paired with an experienced manager and mentor(s)
• Invitations to different events such as intern program initiatives or site events
• Build your professional and personal network with other Amazon Scientists
• Potentially publish work at top tier conferences each year

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 in designing experiments and statistical analysis of results
• Experience implementing algorithms using toolkits and self-developed code
• Experience in solving business problems through machine learning, data mining and statistical algorithms