Machine Learning Engineer, Robot Learning

What You’ll Do

• Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks.
• Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control.
• Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems.
• Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning.
• Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells.
• Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.

Who You Are

• Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC).
• Experience with robotic simulation tools (e Isaac Sim, MuJoCo).
• Experience with machine learning techniques applied to robot manipulation.
• Experience building models from scratch and deploying them in real-world applications.
• Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
• Strong programming skills in languages such as C++ or Python.

Why You'll Love It Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!