Robot Learning Engineer

What you'll do

• Design and implement learning algorithms for robot tasks, from simulation through physical deployment.
• Develop robot dexterity and mobility using reinforcement learning, imitation learning, and foundation models; scale model training and fine-tuning.
• Build robust manipulation skills and collaborate with hardware, controls, and systems engineers.

What they ask for

• PhD in a listed or related field; or a master's degree with 1+ years of industry experience; or a bachelor's degree with 3+ years of industry experience.
• 2+ years of hands-on experience developing AI systems for robotics applications.
• Expertise in modern robot learning techniques and proficiency in Python and a deep learning framework (PyTorch, TensorFlow, or JAX).
• Experience conducting real-robot experiments, debugging robotic systems, and using robot simulators.

Nice to have

• Publications at top robotics/ML conferences or experience with vision-language or foundation models for robotics.
• Familiarity with sim-to-real transfer, domain randomization, distributed training, MLOps, or taking research from prototype to production.

Pay

$100K – $300K (USD; base salary or total pay not specified)

Tools

Python, PyTorch, TensorFlow, JAX, Isaac Gym, Isaac Sim, MuJoCo, SAPIEN

AI focus

Develop reinforcement learning, imitation learning, and foundation-model approaches for robot manipulation, navigation, and control; scale model training and fine-tuning.