Tech Stack

Description

You will develop and deploy behavioral cloning, reinforcement learning, and diffusion models for complex robotic tasks, leveraging multi-modal data and building vision-language-action models. Collaborate with cross-functional teams to integrate learning-based methods into industrial robotic cells, advancing field-ready AI systems.

Requirements

• Ph.D. or Master's in Robotics, CS, or related field
• Track record of publications at top conferences (NeurIPS, ICLR, ICML, CoRL, RLC)
• Experience with robotic simulation (Isaac Sim, MuJoCo) and ML for manipulation
• Strong programming in C++ or Python
• Experience deploying scalable solutions for autonomous robotic systems

Responsibilities

• Develop and deploy behavioral cloning, RL, and diffusion models for robotics
• Leverage multi-modal data (image, force, torque) for manipulation and control
• Design vision-language-action (VLA) models for intelligent robotic systems
• Craft strategies for data collection, fleet learning, and continuous learning
• Deploy learning-based methods on a fleet of industrial robotic cells