Job Description
Join our AI Research team to develop advanced robot policies for dexterous manipulation in real-world environments. As a Senior Applied Scientist , you will lead the design, training, and deployment of robot learning models that integrate multimodal perception, policy learning, and physical execution. Collaborate with cross-functional teams to push the boundaries of embodied AI and solve industrial-scale challenges in autonomy and simulation.
Responsibilities- Design, implement, and deploy advanced robot learning models and policy architectures for manipulation and autonomous task sequencing, integrating multimodal sensory data, perception, planning, and execution on robotic platforms using ROS/ROS2
- Develop and optimize end-to-end policy training pipelines, including policy inference and closed-loop control systems, for real-world and simulated environments
- Lead data strategy for demonstrations, teleoperation, simulation pipelines, and eval...
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