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1xPosted Oct 23, 2026
Research Engineer, Robot Learning
San Carlos, CAfull timeOn Site$130k–$300kH1B: yes
1x Research Engineer, Robot Learning develops sim2real reinforcement learning training pipelines for humanoid robots. Optimize training and test robot policies to improve performance and training speed.
Responsibilities
- Develop sim2real reinforcement learning training pipelines for humanoid robots
- Train and test robot policies via reinforcement learning
- Optimize training pipelines for improved performance and speed
- Model physical systems including robot dynamics, sensor modeling, and contact parameter tuning
- Collect, clean, and retarget human motion data for RL training
- Support test and debug of RL policies in simulation and on physical hardware
Qualification
Reinforcement learned algorithmsModel physical systems
Required
- Experience and/or education must include:
- Rigid body dynamics and/or dynamical systems for training, deploying and testing reinforcement learned policies for humanoid robots.
- Implement production-grade Python code for reinforcement learning (RL) and other machine learning training pipelines.
- Reinforcement learned algorithms, techniques, and sim2real approaches as they pertain to robotics to perform various human-like capabilities, including whole-body loco-manipulation.
- Implement and debug real-time software in C++ deployed on robots to satisfy various real-time constraints.
- Model physical systems, including multi-body hybrid dynamic systems with contact, in a simulated environment to identify gaps between simulation and hardware and the ability to understand how to accurately model the hardware in simulation.
Company
Source: ashby
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