Drimva

GrayMatter Robotics

AI Research Intern: Foundation Models - IMMEDIATE START

Los Angeles - HQ · On-site · Internship · Posted Aug 26, 2026

Education
Currently pursuing a PhD in Robotics, AI, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
Visa sponsorship
Applicants must be U.S. citizens or nationals, lawful permanent residents, refugees under 8 U.S.C. § 1157, or asylees under 8 U.S.C. § 1158.

About the job

Develop and deploy foundation models for high-precision manufacturing robotics, validating them on real industrial robots and production parts.

What you'll do

  • Develop multimodal foundation models for manufacturing applications and write production-quality R&D code.
  • Own project lifecycles, including data curation, simulation, training, and evaluation.
  • Test models on industrial robots and production parts, and deploy them to real hardware.

What they ask for

  • Currently pursuing a PhD in Robotics, AI, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
  • Research experience in foundation models for robot manipulation and strong knowledge of current world-model and foundation-model research.
  • Proficiency in Python and at least one deep-learning framework; experience with robotics simulation or physics-based modeling and reinforcement learning, imitation learning, or policy optimization.
  • Experience with robotics middleware and real-hardware deployment, plus a publication track record in venues such as ICRA, CoRL, RSS, IROS, RA-L, or T-RO.

Nice to have

  • PyTorch is preferred.
  • Experience with VLA/VLM training, industrial manipulators, or research deployed in industrial environments.

Pay

$40 – $50 per hour (base salary)

Tools

Python, PyTorch, Isaac Lab, MuJoCo, ROS/ROS2

AI focus

Research, train, evaluate, and deploy multimodal foundation models for robotic manipulation and high-precision manufacturing.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)