Senior RL Engineer - Robotic Manipulation & Post-Training

Walden Robotics; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Walden Robotics in San Francisco, CA seeks an RL for Manipulation Engineer to advance reinforcement learning for contact-rich tasks on real hardware. You will own reward design, curriculum, and algorithm development in collaboration with the manipulation, controls, and simulation teams.

The role requires rigorous experiments, scalable training, and transfer from simulation to robots, with mentorship of MTS engineers on the RL stack.

Qualifications

• Strong hands-on RL experience with real-world or large-scale problems.
• Experience applying learning to manipulation or contact-rich control.
• Ability to design rigorous experiments and drive work independently.

Responsibilities

• RL for manipulation: design and run RL for contact-rich tasks with reward design and stable training.
• Sim-to-real: drive sim-to-real transfer using domain randomization and system identification.
• Closing the loop: combine simulation, offline data, and real-world feedback into robust policies.
• Mentorship: partner with teams and mentor MTS engineers on the RL stack.

Skills

RL for manipulation

Manipulation

Sim‑to‑Real

Ownership

Software engineering

Job description

Walden Robotics in San Francisco, CA seeks an RL for Manipulation Engineer to advance reinforcement learning for contact-rich tasks on real hardware. You will own reward design, curriculum, and algorithm development in collaboration with the manipulation, controls, and simulation teams.

The role requires rigorous experiments, scalable training, and transfer from simulation to robots, with mentorship of MTS engineers on the RL stack.