Real job — pulled straight from Dexmate’s careers page · Verified July 2, 2026 · No reposts.
Job description
Dexmate is hiring a Reinforcement Learning Engineer — a full-time, based in Santa Clara, CA role ($120k–$300k). Apply directly on Dexmate's careers page below.
Reinforcement learning engineer
Department: Engineering
Location: Fremont Office
Compensation: $120K – $300K
Employment Type: FullTime
Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI. If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.
Role Overview
We're seeking Reinforcement Learning experts to develop and deploy cutting-edge RL algorithms that enhance our robots' capabilities.
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
Required Qualifications
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.
Preferred Qualifications
Experience with distributed RL training systems
Experience with sim-to-real transfer techniques
Publications in robotics or RL conferences (CoRL, ICRA, RSS, NeurIPS, ICLR, ICML, etc.)
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Frequently asked questions
What is the salary for Reinforcement Learning Engineer at Dexmate?
The estimated salary range for Reinforcement Learning Engineer at Dexmate is $120,000 - $300,000 USD per year.
What skills are required for Reinforcement Learning Engineer at Dexmate?
The required skills for Reinforcement Learning Engineer at Dexmate include: Robotics, Python, PyTorch, TensorFlow.
What is the seniority level for Reinforcement Learning Engineer at Dexmate?
Reinforcement Learning Engineer at Dexmate is a Mid Level level position.
How do I apply for Reinforcement Learning Engineer at Dexmate?
You can view the full description and apply for Reinforcement Learning Engineer at Dexmate on EchoJobs: https://echojobs.io/job/dexmate-reinforcement-learning-engineer-8gbdo.