Reinforcement learning engineer

Dexmate is seeking Reinforcement Learning experts to develop and deploy cutting-edge RL algorithms that enhance their robots' capabilities. The role involves designing and implementing reinforcement learning algorithms, optimizing training pipelines, and collaborating with robotics engineers to integrate models into production systems.

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