Reinforcement Learning Engineer, Grasping

We are looking for a Reinforcement Learning Engineer to join our Manipulation team, focused on dexterous grasping. Our goal is to ship capable, reliable grasping policies on real hardware with high-DOF robotic hands. We are looking for someone who can follow recent advances in reinforcement learning and related learning-based methods, judge what is practically useful, and adapt those ideas on our platform. If you are earlier in your career but exceptional, we want to hear from you; equally, a more experienced candidate who brings deep RL expertise will thrive here.

BS, MS, or PhD in Robotics, Computer Science, Machine Learning, or a related field.

2+ years of hands-on experience in reinforcement learning for robotic manipulation; exceptional recent graduates from relevant research labs will be considered.

Demonstrated ability to read, understand, and implement ideas from recent robotics and machine learning research.

Hands-on experience training RL agents for robotic manipulation tasks, including reward shaping and policy evaluation.

Experience with sim-to-real transfer: domain randomization, physics tuning, or real-world policy validation on hardware.

Proficiency in Python and deep learning frameworks (PyTorch, JAX), along with RL libraries such as rsl_rl or skrl.

Experience preparing meshes and collision geometries for RL environments in simulators such as MuJoCo and/or Isaac Sim.

We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.

You’ll shape technology that’s redefining the possibilities of robotics and human interaction.

Work alongside passionate teammates who value creativity, collaboration, and continuous learning.

Enjoy full access to advanced tools, hardware labs, and the freedom to push the boundaries of what robots can do. Persona AI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.