Machine Learning Engineer, Robot Learning

What you'll do

• Develop behavioral cloning, reinforcement learning, diffusion, and vision-language-action models for robotic tasks.
• Use multimodal data and build learning-based control and object manipulation methods for industrial robotic cells.
• Support the solution lifecycle, including data collection, fleet learning, continuous learning, and integration with hardware and software teams.

What they ask for

• Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Experience with machine learning applied to robot manipulation and building and deploying models in real-world applications.
• Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
• Strong programming skills in C++ or Python; proven deployment of scalable solutions for autonomous robotic systems.

Nice to have

• Experience with robotic simulation tools such as Isaac Sim or MuJoCo.
• Track record publishing at top conferences such as NeurIPS, ICLR, ICML, CoRL, or RLC.

Tools

C++, Python, Isaac Sim, MuJoCo

AI focus

Build and deploy behavioral cloning, reinforcement learning, diffusion, and vision-language-action models for industrial robot learning, manipulation, control, and fleet learning.