Dexmate Verified 12h ago
Reinforcement learning engineer
Fremont, California, United States On-site
$120,000–$300,000 a yearPay$120,000–$300,000
TypeFull-time
Work settingOn-site
Verified listing
JobFig found this opening at its original source and checks that it remains available.
About the role
We're seeking Reinforcement Learning experts to develop and deploy cutting-edge RL algorithms that enhance our robots' capabilities.
What you'll bring
- Strong experience with reinforcement learning (PPO, SAC, TD3, DDPG, etc.)
- Hands-on experience with robotics systems (simulation or real robots)
- Proven track record applying RL to manipulation, locomotion, or navigation tasks
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX)
- Strong understanding of robot kinematics, dynamics, and control
- Experience with GPU-based simulation such as Isaac Gym, Isaac Lab, SAPIEN, etc.
- Experience with distributed RL training systems
- Experience with sim-to-real transfer techniques
- Publications in robotics or RL conferences (CoRL, ICRA, RSS, NeurIPS, ICLR, ICML, etc.)