Machine Learning Engineer
Sanctuary AIVancouver, British Columbia, Canada
Posted October 1, 2025
Full Time
About the Company
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.
Job Description
Sanctuary AI is seeking Machine Learning Engineers to contribute to the development and deployment of robust systems for training and running ML policies on robots. The role involves designing, testing, and refining software integrating state-of-the-art machine learning techniques into production. Collaboration with researchers and partners is key. This is a full-time position with occasional travel.
Requirements
- Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or related field.
- 3+ years of experience in machine learning methods.
- 4+ years of software engineering experience.
- Hands-on experience deploying ML models to production.
- Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).
- Experience with ROS2 and parallel computing.
- Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark).
Benefits
- Competitive salaries
- Equity stakes
- Health coverage
- Paid time off
- Work facilities
- Flexible work schedule
