Reinforcement learning engineer
Dexmate · Fremont, CA · 3 wk ago
On-siteEngineeringFull-time
Responsibilities
- Design and implement reinforcement learning algorithms for various robotics tasks
- Develop and optimize RL training pipelines in both simulation and real-world environments
- Collaborate with robotics engineers to integrate RL models into production systems
- Conduct experiments to evaluate and improve algorithm performance
- Scale training infrastructure for efficient learning across multiple robots
Requirements
- 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.