Sanctuary AI is dedicated to developing human-like intelligence in general-purpose robots for safer, more efficient, and sustainable work environments. With expertise from founding companies like D-Wave and Kindred, Sanctuary leverages AI, cognition, computer vision, machine learning, and robotics to drive innovation in automation and space exploration.
Open Positions
Robot Test Pilot (6 Month Contract - Multiple Shifts)
1-2 years of experience with immersive or interactive environments, familiarity with structured testing workflows, and strong written English skills
Executive Assistant to the CEO
5+ years of experience, Bachelor's degree, and strong communication skills
Robotics Technician
Technical degree, experience with electro-mechanical devices, fine manual work, and repair experience
Robotics Technician, Applications Engineering
Technical degree or diploma, experience with electromechanical systems, and PLC programming required
Senior Software Engineer - Embodied Intelligence Platform
Bachelor's degree in Computer Science, 6+ years of Software/Backend experience, 3+ years of Frontend experience
Machine Learning Research Intern (Reinforcement/Imitation Learning)
Pursuing MS or Ph.D. in Machine Learning, Computer Science, Applied Math, or related field with experience in implementing RL and IL methods, integrating ML models onto a robotics platform, and deploying robotic manipulation tasks in simulation and on physical robots
Staff Research Scientist, Dexterous Manipulation
Ph.D. in related field. 5+ years robotic manipulation & RL/IL experience. Proficiency with Python & PyTorch/TensorFlow/ROS2 & related tools
Machine Learning Engineer
Master's degree/Ph.D. in CS/Engineering/Math. 3+ years ML experience. 4+ years of software engineering exp. Proficiency with ML frameworks/cloud platforms
Director, Product Management
7+ years of experience leading cross-functional teams, degree in Computer Science or related field, and strong exposure to embedded machine learning
Senior Mechanical Engineer
6-9 years of experience, Bachelor’s degree in mechanical engineering or related field, comprehensive experience in product lifecycle