Discover the Amazon 2026 Applied Science Internship specializing in generative AI and large language models. Learn about the responsibilities, requirements, locations, and compensation for this competitive AI research internship.
Generative AI continues to transform how organizations operate, and Amazon is among the leaders driving that transformation. This internship provides an exceptional opportunity to contribute to next-generation language models, prototypes, and advanced AI solutions used across Amazon’s products and systems.
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A World-Class AI Research Environment
As an Applied Science Intern, you will collaborate with top researchers, scientists, and engineers who specialize in machine learning, NLP, optimization, and large-scale model development. Interns become part of Amazon’s innovative research culture, where fresh ideas are welcomed, collaboration is encouraged, and experimentation is part of everyday work.
You will have access to powerful cloud infrastructure, proprietary datasets, cutting-edge modeling tools, and supportive mentorship throughout the program. Interns not only gain technical experience but also develop their communication, presentation, and research interpretation skills.
Key Responsibilities
The 2026 Applied Science Internship focuses heavily on generative AI and large language model development. Your responsibilities may include:
- Building, optimizing, and evaluating large language models and generative AI systems.
- Designing and experimenting with new deep learning architectures.
- Fine-tuning transformer-based models for tasks like classification, summarization, question answering, and text generation.
- Developing prototypes for real-world machine learning applications.
- Collaborating with cross-functional teams to integrate models into scalable systems.
- Presenting findings, participating in research discussions, and contributing to ongoing AI projects.
This internship emphasizes practical innovation, allowing interns to see the direct impact of their research on real Amazon products and customer experiences.
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Who Should Apply?
Amazon seeks PhD students in fields such as computer science, artificial intelligence, machine learning, statistics, data science, and applied mathematics. Qualified candidates should have strong programming skills in languages like Python, Java, or C++, along with foundational knowledge in machine learning algorithms and statistical modeling.
Preferred applicants may also bring experience with research publications, prior work on natural language models, or hands-on experience with deep learning frameworks. The internship requires full-time participation and may involve relocation to one of Amazon’s U.S. offices, including Seattle, New York, Boston, Sunnyvale, Pittsburgh, Cambridge, Bellevue, or Santa Clara.
Compensation and Benefits
Amazon offers competitive hourly compensation ranging from approximately $65 to $107, depending on location. Interns may also receive relocation support, health benefits, wellness resources, and opportunities for equity and bonuses based on the final offer.
A Career-Boosting AI Internship
The Amazon 2026 Applied Science Internship is a powerful stepping stone for PhD students pursuing careers in artificial intelligence research. With hands-on experience, industry mentorship, and exposure to cutting-edge technology, interns leave the program with advanced skills and strong prospects for future roles in AI, research science, or machine learning engineering.
