About the Role

This is a 2026 Applied Scientist Internship at Amazon for MS or PhD students interested in machine learning, deep learning, generative AI, and related fields. Interns will design and develop end-to-end systems, work on production-level projects, and collaborate with Amazon scientists. The role involves inventing solutions for novel problems and offers opportunities for publication and professional growth.

Key Responsibilities

• Own the design and development of end-to-end systems
• Write technical white papers and create roadmaps
• Drive production-level projects supporting Amazon Science
• Work closely with Amazon scientists and other interns to develop and deploy solutions
• Design new algorithms, models, or technical solutions

Required Skills & Qualifications

Must Have:

• Experience with any programming language such as Python, Java, C++
• Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields

Nice to Have:

• 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

Benefits & Perks

• Competitive stipend/salary
• Paired with an experienced manager and mentor(s)
• Invitations to intern program initiatives or site events
• Opportunity to build professional and personal network with Amazon Scientists
• Potential to publish work at top tier conferences