Robot Learning Engineer: Build Real-World Robotic Skills

Dexmate Inc.; Fremont, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Dexmate Inc. in California is seeking Robot Learning Engineers to design and deploy learning systems that give our robots new skills, from simulation through deployment on physical robots.

You will work on reinforcement learning, imitation learning, and foundation-model approaches for manipulation, navigation, and control while collaborating with hardware and controls teams to ship robust, real-world robotics solutions.

Qualifications

• PhD in Robotics, CS, EE, ME, 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

Robot learning

Python

PyTorch

TensorFlow

JAX

Reinforcement learning

Imitation learning

Foundation models

Robotics hardware

Communication

Education

PhD in Robotics/related

Master's +1 year experience

Bachelor's +3 years experience

Tools

Isaac Gym

Isaac Sim

MuJoCo

SAPIEN

Drake

Job description

Dexmate Inc. in California is seeking Robot Learning Engineers to design and deploy learning systems that give our robots new skills, from simulation through deployment on physical robots.

You will work on reinforcement learning, imitation learning, and foundation-model approaches for manipulation, navigation, and control while collaborating with hardware and controls teams to ship robust, real-world robotics solutions.