17 Aug
|
Sanctuary AI
|
Vancouver
17 Aug
Sanctuary AI
Vancouver
Your New Role and Team
Sanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation tasks.
As a Staff Research Scientist, your role will involve choosing the most cutting-edge methods, creating training and data collection systems, overseeing the evaluation of these algorithms in simulated environments, and implementing them on our robots in real-world situations. You will also enjoy the exclusive chance to make a meaningful impact by working with novel haptic and proprioceptive sensing techniques, thanks to our in-house robot with dexterous hands.
Your Experience
Qualifications
- Ph.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background in Reinforcement Learning and/or Imitation Learning
- 5+ years of hands-on experience implementing and deploying robotic manipulation tasks, both in simulation and on physical robots
- 5+ years of practical experience applying various Reinforcement Learning and/or Imitation Learning methods, with focus on robotics in the real world
- 4+ years experience in developing and optimizing large-batch parallel simulations for Reinforcement Learning
- Proven expertise in continual learning,
employing adaptive model training to improve long-term performance and accuracy
- Proven expertise in sim-to-real transfer
- Experience in transitioning Machine Learning research and trained models into real-world production
- Active involvement in integrating Machine Learning models into a robotics platform
- A track record of publishing research in esteemed AI conferences such as ICRA, IROS and CORL
Skills
- Development with Python 3.8 or later
- Working knowledge of PyTorch and/or TensorFlow
- Familiarity with ROS2
- Expertise in use of Reinforcement Learning principles and their application
- Experience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab
Traits
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
- Strong leadership skills in organizing R&D; work for ML projects
- Eager to take on new challenges with tenacity and positivity
- Patience, persistence, and attention to detail when resolving performance issues
- Enthusiasm for bringing human-like intelligence to machines
- Ability to drive development of new functionalities from concept to production
- Ability to multitask and prioritize in a fast paced setting
📌 Staff Research Scientist, Dexterous Manipulation (Vancouver)
🏢 Sanctuary AI
📍 Vancouver