Dexmate
Reinforcement Learning Engineer
$120K–$300K
Fremont Office · On-site · Full-time · Posted Jan 19, 2026
About the job
Develops and deploys reinforcement learning algorithms and training systems to improve robot capabilities across simulation and real-world environments.
What you'll do
- Design and implement RL algorithms for robotics tasks; run experiments to evaluate and improve performance.
- Develop and optimize training pipelines in simulation and the real world, and scale infrastructure across multiple robots.
- Collaborate with robotics engineers to integrate RL models into production systems.
What they ask for
- Strong experience with reinforcement learning, including PPO, SAC, TD3, or DDPG.
- Hands-on experience with robotics systems and a track record applying RL to manipulation, locomotion, or navigation.
- Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Understanding of robot kinematics, dynamics, and control; experience with GPU-based simulation such as Isaac Gym, Isaac Lab, or SAPIEN.
Nice to have
- Experience with distributed RL training or sim-to-real transfer techniques.
- Publications in robotics or RL conferences.
Pay
$120K – $300K (USD; type not specified)
Tools
PPO, SAC, TD3, DDPG, Python, PyTorch, TensorFlow, JAX
AI focus
Applies reinforcement learning to robot capabilities, training, and deployment.
Model-written summary · the original posting is authoritative