AI & Robotics Research Internship - Frontiers in LLMs

Amazon Inc.

San Francisco (CA)

On-site

USD 134,000 - 164,000

Full time

14 days+

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Job summary

Amazon Inc. in San Francisco, CA is seeking an ambitious intern to join a world-class robotics and AI research team. You will collaborate with leaders in ML, deep learning, and robotics to push boundaries in perception, manipulation, and control using LLMs and generative AI.

You will contribute to cutting-edge projects, publish results, and gain hands-on experience with MuJoCo, Isaac Sim, and PyTorch/JAX. Relocation to the internship location is expected and full-time engagement is required for

Qualifications

  • Enrollment in a Bachelor's degree or higher.
  • Strong background in ML, DL, and robotics.
  • Publications at NeurIPS, CVPR, ICRA, RSS, CoRL or ICLR.
  • Proficiency in Python and PyTorch/JAX.

Responsibilities

  • Develop scalable algorithms and modeling techniques at the intersection of LLMs and generative AI for robotics.
  • Tackle challenging research problems on production-scale data for perception, manipulation, and control.
  • Collaborate with cross-functional teams and communicate research findings clearly in relevant domains (DL, RL, CV, motion planning).
  • Leverage AI-powered tools to accelerate research, experimentation, and prototyping; review AI outputs critically.

Skills

Machine learning
Deep learning
Robotics
Python
PyTorch
JAX
Publications
Relocation

Education

Bachelor's degree or higher

Tools

MuJoCo
Isaac Sim
OpenCV

Job description

Amazon Inc. in San Francisco, CA is seeking an ambitious intern to join a world-class robotics and AI research team. You will collaborate with leaders in ML, deep learning, and robotics to push boundaries in perception, manipulation, and control using LLMs and generative AI.

You will contribute to cutting-edge projects, publish results, and gain hands-on experience with MuJoCo, Isaac Sim, and PyTorch/JAX. Relocation to the internship location is expected and full-time engagement is required for

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