Senior Robot Learning Scientist

Lead robot learning for Sanctuary AI’s tactile dexterous hand, combining Python, PyTorch, and vision-language-action policies in Vancouver.

As a Senior Research Scientist, you will own how a high-degree-of-freedom hand learns on real hardware. Your work spans demonstration-data pipelines, tactile and proprioceptive sensing, multimodal policy training, and deployment on industrial arms. You will collaborate with hardware, controls, and teleoperation teams while shaping future hand designs.

• Bring hand control into vision-language-action and world-model policies
• Build demonstration pipelines from collection through scalable training data
• Integrate tactile and proprioceptive sensing into learned policies
• Design rigorous hardware evaluation for customer tasks
• Mentor researchers and publish relevant findings

• PhD or equivalent experience in machine learning or robotics
• Deployed robot-learning policies on physical systems
• Hands-on experience with multi-fingered, high-degree-of-freedom hands
• Depth in at least two stated robot-learning specialties
• Fluency in Python and PyTorch; ROS 2 familiarity

Shape dexterity learning at Sanctuary AI through tactile sensing, policy research, data engines, and real-robot evaluation.