Vacancy Description
Responsibilities
- Conduct research and development focused on robot perception, control, task planning, and model training to transition intelligent agents from the digital world to the physical world.
- Design, train, evaluate, and deploy learning-based visuomotor policies for mobile, bimanual, dexterous, and loco-manipulation.
- Apply and extend techniques, including behavior cloning, reinforcement learning, and VLA reasoning.
- Contribute to building the full pipeline, from data collection on real robots to model training, evaluation, and deployment.
- Work closely with simulation and digital twin tools where useful, while prioritizing real-world performance and transfer.
- Write high-quality, well-tested software that runs reliably on physical robots.
Requirements
- Bachelor’s or Master’s degree in a highly technical field such as computer science, mechanical engi...
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