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Staff Research Scientist

Sanctuary AI14 days ago
Vancouver
Mid Level

About the role

Who you are

  • 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
  • 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
  • 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 environment

What the job involves

  • 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
  • Create, develop, and enhance cutting-edge Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and evaluate their performance in practical applications
  • Stay current with the latest developments in RL/IL techniques and their application in robotics
  • Identify, communicate, and lead research initiatives that show promise to the wider ML team
  • Discover strategies for enhancing current RL/IL learning processes, considering key performance metrics like sample efficiency, speed, computational resources, and scalability
  • Devise RL/IL training and data collection pipelines to expedite implementation on physical robots
  • Collaborate within a diverse team to devise innovative algorithms and investigate the root causes of errors in existing implementations

About Sanctuary AI

Software Development
51-200

Sanctuary is on a mission to create the world’s first human-like intelligence in general-purpose robots that will help us work more safely, efficiently, and sustainably. And in the not-too-distant future, help us explore, settle, and prosper in outer space.

Members of the Sanctuary team founded D-Wave (a pioneer in the quantum computing industry), Kindred (first use of reinforcement learning in a production robot), and the Creative Destruction Lab (pioneered a revolutionary method for the commercialization of science for the betterment of humankind). The team has experience launching market-defining innovations rooted in previously unsolved and deep scientific problems.