Data Researcher

4 weeks ago


Vancouver, Canada T-Net British Columbia Full time
h3>Applied Researcher, Dexterous Manipulation

Sanctuary AI

Your New Role and Team

Sanctuary AI - a multi award-winning LinkedIn Top Startup company - is seeking an exceptional Applied Researcher, Dexterous Manipulation to join our team in engineering and innovating unique robotic manipulation tasks.

As an Applied Researcher, you'll be responsible for selecting the most promising state of the art (SOTA) approaches, designing training and data-collection pipelines, supervising the process of testing these algorithms in simulation, and deploying them to our robots in real-world settings. p>Success Criteria

  • Design, implement, and improve state of the art Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and test them in real-world settings.
  • Identify, communicate, and drive promising research directions to the team.
  • Find ways of improving existing implementations of RL/IL learning pipelines with regards to standard metrics such as sample efficiency, speed, computational resource usage, and scalability.
  • Design RL/IL training and data-collection pipelines to facilitate fast deployment on physical robots.
  • Work with a multidisciplinary team to develop novel algorithms and investigate sources of errors with existing implementations.

Your Experience

Qualifications

  • PhD in Machine Learning, Computer Science, Applied Math, or equivalent work experience in ML.
  • Experience with computer vision systems.
  • Development with Python 3.li>
  • Strong leadership skills in organizing R&D work for ML projects.
  • Patience, persistence, and attention to detail when resolving performance issues.
  • Enthusiasm for bringing human-like intelligence to machines.

    About Sanctuary AI

    Founded in 2018, Sanctuary builds humanoid robots and a novel control system for them that integrates symbolic logic and reasoning with data-driven robot foundation models. We use our robots to collect vision, audio, touch, and proprioception data from the perspective of the robot while they perform real-world work tasks. We use that data to train multimodal robot foundation models. Our mission is to create the world's first human-like intelligence in general-purpose robots.


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