Robot Learning Engineer

The role

You will develop and deploy physical AI models for manipulation and navigation in dynamic outdoor environments. You will research techniques like RL, imitation learning, and world models to achieve robust generalization.

What you will do

• Develop and deploy state-of-the-art physical AI models for manipulation and navigation problems.
• Drive the technical approach with a focus on real-world deployments.
• Research and develop techniques around RL, imitation learning, video-action and world models.
• Build approaches for pre/post training of large robotics models.
• Work with multimodal data including cameras, LIDAR, and tactile.
• Develop and improve real/sim data pipelines, training and validation infrastructure.
• Collaborate with other teams in the company.

Required qualifications

• M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).
• 4+ years of hands-on experience developing AI-driven solutions for robotics applications like manipulation and navigation.
• Extensive experience in computer vision, machine learning, reinforcement learning or other relevant areas of AI.
• Experience with approaches like VLAs, deep RL, imitation learning, diffusion, world models.
• Extensive experience with Python and common frameworks like PyTorch.
• Comfortable taking ownership of tasks with light supervision.
• Excellent problem-solving skills.
• Legally authorized to work in the United States.

About the company

Gritt is an intelligent system that combines robotics and AI to build infrastructure. The founding team includes experts from Carnegie Mellon, Stanford, and MIT.