PhD GenAI & LLMs Research Internship

Amazon

Boston (MA)

On-site

USD 142,800 - 193,200

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Employee Assistance Program
Mental Health Support
401(k) Matching

Job summary

Amazon is seeking an Applied Science Intern to push the boundaries of AI, working with world‑class researchers on large language models, transformers, and generative AI. You will fine‑tune models, develop novel algorithms, and apply advanced NLP techniques to real-world challenges.

Join a fast-paced team with access to state‑of‑the‑art computing infrastructure and mentorship. Opportunity to contribute across Boston, Cambridge, Seattle, and other locations, collaborating with cross-functional

Qualifications

  • Enrolled in a PhD program.
  • Willing to relocate to internship location.
  • Experience programming in Java, C++, Python or related language.
  • Available for full-time (40 hours/week) for the whole duration of the internship.

Responsibilities

  • Collaborate with cross-functional teams on NLP, GenAI, and recommender systems.
  • Fine-tune state-of-the-art models and develop novel algorithms.
  • Explore generative AI applications across industries.
  • Attend research seminars and engage with industry experts.
  • Leverage cutting-edge computing resources to drive innovation.

Skills

Java
C++
Python

Education

PhD candidate

Job description

Amazon is seeking an Applied Science Intern to push the boundaries of AI, working with world‑class researchers on large language models, transformers, and generative AI. You will fine‑tune models, develop novel algorithms, and apply advanced NLP techniques to real-world challenges.

Join a fast-paced team with access to state‑of‑the‑art computing infrastructure and mentorship. Opportunity to contribute across Boston, Cambridge, Seattle, and other locations, collaborating with cross-functional

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

2026 Fall Applied Science Internship Gen AI Large Language Models United States PhD Student Sci[...]
2026 Fall Applied Science Internship Gen AI Large Language Models United States PhD Student Sci[...]

Amazon • Boston (MA)

On-site
USD 142,000 - 194,000
Employee Assistance Program
Mental Health Support
401(k) Matching
GenAI & LLM Applied Scientist — Research Leader
GenAI & LLM Applied Scientist — Research Leader

Amazon • Austin (TX)

On-site
USD 192,000 - 260,000
Health insurance
RSUs
GenAI ML Scientist - Lead Innovation in AI Systems
GenAI ML Scientist - Lead Innovation in AI Systems

Socket.dev • Seattle (WA)

On-site
USD 143,000 - 193,000
Health insurance
RSUs/Stock option program
401(k) matching
+2
Senior Applied Scientist — Generative AI & LLMs
Senior Applied Scientist — Generative AI & LLMs

Amazon • Sunnyvale (CA)

On-site
USD 167,000 - 226,000
Applied Scientist, Personalization & AI (LLMs/IR)
Applied Scientist, Personalization & AI (LLMs/IR)

Amazon Science • Seattle (WA)

On-site
USD 143,000 - 193,000
Health insurance including medical, 2
401(k) matching
Paid time off
+1
GenAI & LLM Scientist for E-commerce AI
GenAI & LLM Scientist for E-commerce AI

Amazon Science • Seattle (WA)

On-site
USD 143,000 - 193,000
RSUs
Health insurance
401(k) matching
+1
Research Science Intern: Build Real-World ML Solutions
Research Science Intern: Build Real-World ML Solutions

Amazon • Boston (MA)

On-site
USD 136,000 - 184,000
Employee assistance program
Mental health support
401(k) matching
GenAI/LLM Applied Scientist — Innovate & Deploy AI
GenAI/LLM Applied Scientist — Innovate & Deploy AI

Amazon • San Diego (CA)

On-site
USD 142,800 - 193,200
GenAI ML Scientist — Cloud AI Innovator
GenAI ML Scientist — Cloud AI Innovator

Amazon • Seattle (WA), Northern (KY)

Hybrid
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1
Staff Engineer, Generative AI & LLM Systems
Staff Engineer, Generative AI & LLM Systems

Amazon • Sunnyvale (CA)

On-site
USD 180,000 - 240,000