Senior Staff Applied Scientist

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 evaluation f...