Opportunity Description
About the job
We're looking for a Reinforcement Learning (RL) Engineer to develop and deploy learning-based control policies for our robots, including integration with Vision-Language-Action (VLA) stacks. You will own the training loop from simulation and logged data through evaluation on hardware, working closely with simulation, perception, and robotics teams.
This is not a research-only role. You will ship policies that must work under real operational constraints—latency, safety, embodiment differences, and continuous improvement from field data.
What you'll do
- Design, implement, and maintain RL training pipelines for robotic manipulation, navigation, and whole-body control tasks
- Develop and tune policies in simulation and on real hardware, with clear benchmarks for success, robustness, and regression detection
- Integrate RL stacks with ...
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