Robotics RL Engineer — Build Next‑Gen Physical AI

Dexmate; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Dexmate is seeking a Reinforcement Learning expert to develop and deploy cutting-edge RL algorithms that enhance their robots' capabilities. The ideal candidate will design RL algorithms for robotics, develop training pipelines, and collaborate closely with engineers to integrate these models into production systems.

The position requires strong experience with reinforcement learning and robotics, along with proficiency in Python and deep learning frameworks. A background in GPU-based simulations is a plus.

Qualifications

• Strong experience with reinforcement learning algorithms.
• Hands-on experience with robotics systems, either in simulation or on real robots.
• Proven track record applying RL to various robotics tasks.

Responsibilities

• Design and implement reinforcement learning algorithms.
• Develop RL training pipelines in simulation and real-world environments.
• Collaborate with robotics engineers to integrate RL models into production.

Skills

Reinforcement learning (PPO, SAC, TD3, DDPG)

Robotics systems experience

Python proficiency

Deep learning frameworks (PyTorch, TensorFlow, JAX)

Robot kinematics and dynamics understanding

Tools

GPU-based simulation (Isaac Gym, Isaac Lab, SAPIEN)

Job description

Dexmate is seeking a Reinforcement Learning expert to develop and deploy cutting-edge RL algorithms that enhance their robots' capabilities. The ideal candidate will design RL algorithms for robotics, develop training pipelines, and collaborate closely with engineers to integrate these models into production systems.

The position requires strong experience with reinforcement learning and robotics, along with proficiency in Python and deep learning frameworks. A background in GPU-based simulations is a plus.