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Principal Scientist, Reinforcement Learning
Company | Sanctuary AI |
Address | Vancouver, British Columbia, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Transportation, Logistics, Supply Chain and Storage |
Expires | 2023-07-17 |
Posted at | 10 months ago |
Your New Role and Team
- Design, implement, and improve SOTA RL algorithms and test them in real-world settings
- Identify, communicate, and drive promising research directions to the team
- Design RL training and data-collection pipelines to facilitate fast deployment on physical robots
- Keep up to date with SOTA RL methodologies and robotics
- Work with a multidisciplinary team to develop novel algorithms and investigate sources of errors with existing implementations
- Find ways of improving existing implementations of RL learning pipelines with regards to standard metrics such as sample efficiency, speed, computational resource usage, and scalability
- 4+ years' experience implementing a variety of ML methods with a focus in a specialization such as computer vision or robotics
- Experience in simulation-to-reality transfer learning
- Experience taking ML R&D and trained models into production
- PhD in Machine Learning, Computer Science, Applied Math, or equivalent work experience in ML
- 2+ years' experience implementing and deploying (dexterous) robotic manipulation tasks in simulation and on physical robots
- Hands-on experience integrating ML models onto a robotics platform
- Publications in leading AI conferences such as Neurips, ICLR, ICML and CORL
- Experience with computer vision systems
- Experience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab
- Development with Python 3.6 or later
- Familiarity with ROS2
- Working knowledge of PyTorch and/or TensorFlow
- Extensive knowledge of Reinforcement Learning principles and use
- Ability to drive development of new functionalities from concept to production
- 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
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
- Ability to multitask and prioritize in a fast paced environment
- Enthusiasm for bringing human-like intelligence to machines
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