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π€ Applied Science Internship 2026 β Generative AI & Large Language Models (PhD Students) | Amazon (USA)
Position: Applied Science Intern β GenAI & LLMs
Company: Amazon (Amazon.com Services LLC)
Job ID: 3127849
Type: Full-time Internship (40 hours/week)
Eligibility: PhD Students
Locations: Bellevue, WA; Seattle, WA; Sunnyvale, CA; Santa Clara, CA; Boston, MA; Cambridge, MA; New York, NY; Pittsburgh, PA (and others)
Internship Year: 2026
Application Status: Open until filled
π¬ About the Internship
Amazon is recruiting PhD research interns for its Applied Science teams working at the frontier of Generative AI and Large Language Models.
This internship offers a rare opportunity to work on production-scale GenAI systems, collaborating with world-class scientists and engineers to solve real-world problems using LLMs, transformers, and deep learning.
Interns will contribute to applied research that directly impacts Amazon products and services across industries.
π§ Key Research & Technical Areas
Applicants with experience or strong interest in one or more of the following areas are encouraged to apply:
- Large Language Models (LLMs)
- Generative AI
- NLP / NLU
- Transformers & fine-tuning
- Deep learning & neural networks
- Recommendation systems
- Question answering
- Named Entity Recognition (NER)
- Statistics & probabilistic modeling
Additional focus areas (from the hiring team):
- Long-horizon reinforcement learning
- LLMs with tools, skills & episodic memory
- LLMs with non-verifiable rewards (LLMaaJ)
- Multi-modal agents
π οΈ What Youβll Work On
- Develop and implement novel, scalable algorithms at the intersection of LLMs and GenAI
- Fine-tune state-of-the-art models on production-scale datasets
- Collaborate with cross-functional teams to solve complex business and research problems
- Explore new applications of generative AI across domains
- Present research findings and contribute to a culture of scientific excellence
π Basic Qualifications
- Currently enrolled in a PhD program
- Available for a full-time internship (40 hrs/week) for the entire duration
- Willing and able to relocate to the internship location
- Strong programming skills in Python, Java, C++, or related languages
β Preferred Qualifications
- First-author publications at top-tier ML/NLP venues such as:
ACL, NAACL, EMNLP, NeurIPS, ICLR, ICML - Experience building models for real-world or business applications
π° Compensation
- Hourly pay range:
- ~$65.38/hour (lowest-cost regions)
- Up to ~$107.40/hour (highest-cost regions)
- Compensation may include additional benefits, equity, or sign-on components depending on the role and location.
π How to Apply
You may apply through either route:
1οΈβ£ Official Amazon Job Portal
π https://www.amazon.jobs/applicant/jobs/3127849/apply
2οΈβ£ Direct Research Outreach (as shared by the hiring scientist)
Interested PhD students may also email directly with:
- CV
- Brief note on research interests
π§ Email: jookyk@amazon.com
π Equal Opportunity Statement
Amazon is an equal opportunity employer and is committed to creating an inclusive workplace. Accommodation support is available throughout the hiring process.
Category: PhD Internships | Applied Science | Generative AI | Large Language Models
Posted by: Biopractify Jobs
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