Applied Science Robotics AI Intern - LLMs, Vision & Control

Amazon Inc.; San Francisco (CA); On-site; USD 60,000 - 80,000; Full time

Job summary

Amazon.com Services LLC in San Francisco is seeking an Applied Science Intern to push the boundaries of AI, robotics, and data-driven research. You will work with world‑class researchers, contributing to deep learning, robotics perception, and manipulation projects.

You will collaborate with cross‑functional teams, publish findings, and leverage cutting-edge tools in a fast‑paced, innovative environment, with strong mentorship and hands-on experience in state‑of‑the‑art robotics tech.

Qualifications

• Enrolled in a Bachelor's degree or higher and eligible for full-time internship.
• Must be able to relocate to the internship location (San Francisco).
• Experience in Python, and optionally C++ or JAX.
• Demonstrated depth in a research area with publications, theses, or equivalent.
• Must be available for full-time internship for the entire duration.

Responsibilities

• Develop novel, scalable algorithms and modeling techniques at the intersection of LLMs and generative AI for robotics.
• Tackle challenging research problems on production-scale data focusing on perception, manipulation, and control.
• Collaborate with cross-functional teams to communicate research findings clearly across disciplines.
• Demonstrate independence and effective communication with diverse stakeholders.

Skills

Machine learning

Deep learning

Robotics

Python

PyTorch

JAX

Publications

Team collaboration

Problem solving

Education

Bachelor's degree or above

Tools

MuJoCo

Isaac Sim

Job description

Amazon.com Services LLC in San Francisco is seeking an Applied Science Intern to push the boundaries of AI, robotics, and data-driven research. You will work with world‑class researchers, contributing to deep learning, robotics perception, and manipulation projects.

You will collaborate with cross‑functional teams, publish findings, and leverage cutting-edge tools in a fast‑paced, innovative environment, with strong mentorship and hands-on experience in state‑of‑the‑art robotics tech.