Applied Science Robotics Intern: AI & LLM Research

Amazon

San Francisco (CA)

On-site

USD 178,257,000 - 293,160,000

Full time

11 days ago
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Job summary

Amazon in San Francisco is seeking an Applied Science Intern to join a world‑class robotics and AI team. You will explore cutting‑edge research at the junction of large language models and robotics, collaborating with leading experts to push the frontiers of intelligent systems.

The ideal candidate is pursuing a Bachelor's degree or higher, willing to relocate, and proficient in Python (PyTorch/JAX). Strong research credentials and publication experience are a plus, with a full‑time internship

Qualifications

  • Enrolled in a Bachelor's degree or higher.
  • Relocate to internship location.
  • Experience programming in Java, C++, Python or related language.
  • Eligible for full-time (40 hours/week) internship for the whole duration.
  • Publications at top-tier conferences are a plus.
  • Experience designing experiments and statistical analysis of results.

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 in robotic perception, manipulation and control.
  • Collaborate with cross-functional teams applying deep learning, reinforcement learning, CV, and motion planning.
  • Demonstrate independence and strong communication with diverse stakeholders.

Skills

Machine learning
Deep learning
Robotics
Publications
Python
PyTorch
JAX

Education

Bachelor's degree or above

Tools

Java
C++
Python
Related language

Job description

Amazon in San Francisco is seeking an Applied Science Intern to join a world‑class robotics and AI team. You will explore cutting‑edge research at the junction of large language models and robotics, collaborating with leading experts to push the frontiers of intelligent systems.

The ideal candidate is pursuing a Bachelor's degree or higher, willing to relocate, and proficient in Python (PyTorch/JAX). Strong research credentials and publication experience are a plus, with a full‑time internship

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