Fall 2025 Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting

Revolutionize the Future of AI at the Frontier of Applied Science

Are you a brilliant mind seeking to push the boundaries of whats possible with artificial intelligence Join our elite team of researchers and engineers at the forefront of applied science where were harnessing the latest advancements in natural language processing deep learning and generative AI to reshape industries and unlock new realms of innovation.

As an Applied Science Intern youll have the unique opportunity to work alongside world-renowned experts gaining invaluable hands-on experience with cutting-edge technologies such as large language models transformers and neural networks. Youll dive deep into complex challenges fine-tuning state-of-the-art models developing novel algorithms for named entity recognition and exploring the vast potential of generative AI.

This internship is not just about executing tasks its about being a driving force behind groundbreaking discoveries. Youll collaborate with cross-functional teams leveraging your expertise in statistics recommender systems and question answering to tackle real-world problems and deliver impactful solutions.

Throughout your journey youll have access to unparalleled resources including state-of-the-art computing infrastructure cutting-edge research papers and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically communicate effectively and thrive in a fast-paced innovative environment where bold ideas are celebrated.

Join us at the forefront of applied science where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn grow and leave an indelible mark on the world of technology.

Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025

Amazon has positions available for LLM & GenAI Applied Science Internships in but not limited to Bellevue WA; Boston MA; Cambridge MA; New York NY; Santa Clara CA; Seattle WA; Sunnyvale CA; Pittsburgh PA.


Key job responsibilities
We are particularly interested in candidates with expertise in: LLMs NLP/NLU Gen AI Transformers Fine-Tuning Recommendation Systems Deep Learning NER Statistics Neural Networks Question Answering.

In this role you will work alongside global experts to develop and implement novel scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI. You will tackle challenging groundbreaking research problems on production-scale data with a focus on recommendation systems question answering deep learning and generative AI.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter comfortable with ambiguity with strong attention to detail and the ability to thrive in a fast-paced ever-changing environment.

A day in the life
- Collaborate with cross-functional teams to tackle complex challenges in natural language processing computer vision and generative AI.
- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of whats possible.
- Explore the vast potential of generative AI and its applications across industries.
- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.
- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.
- Present your groundbreaking work and insights to the team fostering a culture of knowledge-sharing and continuous learning.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java C Python or related language
- Experience with one or more of the following: Large Language Models NLP Natural Language Understanding Generative AI Transformers Fine-tuning Recommendation Systems Deep Learning Named Entity Recognition Statistics Neural Networks Question Answering

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in building models for business application

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.