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Amazon

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Fall 2026 Applied Science PhD Internship in Gen AI and Large Language Models Amazon in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 1, 2026

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Country

United States

University

Amazon

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Keywords

Computer Science
Information Technology
Applied Science
Statistics
Large Language Models
Machine learning

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About this position

Amazon Machine Learning University is advertising a Fall 2026 Applied Science PhD Internship focused on Gen AI and Large Language Models. The role is part of Amazon’s broader effort to build AI training foundations that help upskill employees across the company and support innovation at Amazon scale.

This opportunity is aimed at PhD students interested in applied science, machine learning, and generative AI research and development. The internship appears to be based in the United States and is listed under Amazon.jobs as a PhD student science recruiting role. The post emphasizes work that will influence how Amazon’s workforce learns, builds, and uses AI tools.

Research and technical themes: Gen AI, large language models, applied machine learning, AI training systems, and agentic AI innovations.

Announcer: Shobeir Fakhraei, Applied Science Manager at Amazon Web Services, shared the opportunity and invited interested candidates to connect with Mia Carina Mayer for more information.

Application: Apply via the Amazon.jobs posting linked in the post. The content does not mention funding, stipend, tuition support, or fee waivers.

Timing: The post refers to a Fall 2026 internship window.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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