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.

Key Responsibilities:

- 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

Requirements:

- 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.

📌 Senior Robot Learning Scientist (Vancouver)
🏢 Sanctuary
📍 Vancouver