Reinforcement learning engineer
DexmateSanta Clara, California, United States
Posted January 19, 2026
Full Time
About the Company
Dexmate is dedicated to building the next generation of intelligence and automation technologies. The company develops AI‑driven solutions that streamline processes, enhance decision‑making, and drive operational efficiency. Its core offerings include intelligent automation platforms, data analytics tools, and AI‑powered applications designed for rapid integration into existing workflows. Dexmate distinguishes itself through advanced algorithms, a user‑centric design philosophy, and a proven track record of delivering measurable business value across diverse industries.
Job Description
We're seeking Reinforcement Learning experts to develop and deploy cutting-edge RL algorithms that enhance our robots' capabilities.
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.