Robot Learning Engineer: Build Real-World Dexterity with RL

Roboticsconnected; Fremont (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Dexmate is seeking a Robot Learning Engineer to design and deploy reinforcement and imitation learning approaches for manipulation, navigation, and control on both simulated and real robots. You will develop scalable ML systems and collaborate with hardware and controls teams to deliver robust robotic capabilities.

The role requires advanced degrees or equivalent industry experience, strong Python and DL framework skills, and a passion for turning research into production-grade robotics

Qualifications

• PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; OR Master's degree with 1+ years industry experience; OR Bachelor's degree with 3+ years industry experience
• 2+ years of hands-on experience developing AI systems for robotics applications
• Deep expertise in modern robot learning techniques (reinforcement learning, imitation learning, behavior cloning, etc.)
• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
• Proven experience conducting real robot experiments and debugging complex robotic systems
• Experience with robot simulators (Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar)
• Excellent problem-solving abilities and strong communication skills
• Genuine passion for robotics and building products that work in the real world

Responsibilities

• Design and implement state-of-the-art learning algorithms for robot manipulation, navigation, and control—from simulation to deployment on physical systems
• Develop novel approaches to enhance robot dexterity and mobility using reinforcement learning, imitation learning, and foundation models, etc.
• Scale ML systems for large-scale model training and fine-tuning
• Build diverse, robust manipulation skills that push the boundaries of what robots can do
• Collaborate closely with hardware, controls, and systems engineers to create integrated solutions

Skills

Python

PyTorch

TensorFlow

JAX

Reinforcement learning

Imitation learning

Education

PhD in Robotics or related field

Master's degree + 1+ years industry

Bachelor's degree + 3+ years industry

Tools

Isaac Gym

Isaac Sim

MuJoCo

SAPIEN

Drake

Job description

Dexmate is seeking a Robot Learning Engineer to design and deploy reinforcement and imitation learning approaches for manipulation, navigation, and control on both simulated and real robots. You will develop scalable ML systems and collaborate with hardware and controls teams to deliver robust robotic capabilities.

The role requires advanced degrees or equivalent industry experience, strong Python and DL framework skills, and a passion for turning research into production-grade robotics