Job Description
We are seeking a Chief Applied Scientist to spearhead the advancement of robotic policies for dexterous manipulation in practical environments.
In this leadership role, you will oversee the creation, training, and rollout of sophisticated robot learning models that merge multimodal perception, policy learning, and physical execution. Join a dynamic team dedicated to pushing the limits of embodied AI and addressing large-scale industrial autonomy and simulation challenges. Apply now to lead innovation in robotics and AI.
Responsibilities- Design and deploy cutting-edge robot learning models and policy architectures for manipulation and autonomous task sequencing, incorporating multimodal sensory inputs, perception, planning, and execution on robotic platforms with ROS/ROS2
- Develop and refine comprehensive policy training pipelines, including policy inference and closed-loop control systems, tailored for both real and simulated settings <...
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