Machine Learning Engineer Robot Learning

Skills

About the Role

You will develop and deploy behavioral cloning, reinforcement learning, and diffusion models for robotic tasks. You will use multimodal data, build vision-language-action models, develop robot-control and manipulation methods, and integrate planning algorithms into robotic platforms.

Requirements

• Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
• Track record of publishing at top conferences including NeurIPS, ICLR, ICML, CoRL, or RLC
• Experience with robotic simulation tools such as Isaac Sim or MuJoCo
• Experience applying machine learning 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 C++ or Python programming skills
• Track record of deploying scalable solutions for autonomous robotic systems
• Strong communication skills

Responsibilities

• Develop and deploy behavioral cloning, reinforcement learning, and diffusion models for robotic tasks
• Leverage image, force, and torque data to improve robotic manipulation and control
• Design and implement vision-language-action models
• Develop strategies for data collection, fleet learning, and continuous learning
• Develop, optimize, and deploy learning-based robot-control and object-manipulation methods
• Collaborate to integrate manipulation, control, and planning algorithms into robotic platforms
• Stay current with advancements in robotics, control theory, and planning algorithms

Benefits

• Daily free lunch
• Flexible PTO
• Medical, dental, and vision coverage
• 6 weeks of fully paid parental leave plus an additional 6–8 weeks for birthing parents
• 401(k) retirement plan through Empower
• Employee referral bonuses