Machine Learning Research Intern, Sanctuary AI
Reinforcement/Imitation Learning
Human-like intelligence robotics
Open for applications
Human-like intelligence robotics
101-200 employees
Open for applications
101-200 employees
Company mission
To create the world’s first human-like intelligence in general-purpose robots at a time that is right to make it happen.
Role
Who you are
- Pursuing MS or Ph.D. in Machine Learning, Computer Science, Applied Math, or related field
- Experience implementing a variety of RL and IL methods with a focus in a specialization such as computer vision or robotics
- Hands-on experience integrating ML models onto a robotics platform
- Experience implementing and deploying (dexterous) robotic manipulation tasks in simulation and on physical robots
- Experience taking ML R&D and trained models into production
- Experience with computer vision systems
- Experience in simulation-to-reality transfer learning
- Development with Python 3.6 or later
- Working knowledge of PyTorch and/or JAX
- Familiarity with ROS2
- Extensive knowledge of RL/IL principles and use
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
- Optimistic listening and conflict resolution capabilities
- Demonstrated ability to influence others without authority
- Eager to take on new challenges with tenacity and positivity
- Patience, persistence, and attention to detail when resolving performance issues
- Obsession with bringing human-like intelligence to machines
What the job involves
- Reporting to the RL Lead, you will have the opportunity to tackle a variety of challenges related to the perception, planning, and motion systems for humanoid general-purpose robots
- Design, implement, and improve state-of-the-art Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and test them in real-world settings
- Keep up to date with state-of-the-art RL/IL methodologies and robotics
- Identify, communicate, and drive promising research directions to the team
- Find ways of improving existing implementations of RL/IL 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
Our take
Sanctuary has set itself the ambitious task of developing human-like intelligence in general-purpose robots. It intends for these to complement the human labor market - and eventually help humans settle in outer space.
Its robots are modelled on the size and shape of humans, and their cognitive architecture is based on the subsystems of the human brain. The hope is that this puts the so-far elusive artificial general intelligence (AGI) in closer reach.
It’s an ambitious mission, but the Sanctuary team have remarkable expertise and experience, which positions them well to take on the challenge. Some critics do suggest that its technology isn’t anything new, and that AGI (technologically glamorous though it may be) is no better than alternate, highly specialised systems. If it can be done, however, there’s no doubt it’ll prove a remarkable deep-tech breakthrough.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
81% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2022
$30m
GRANT
Mar 2022
$58.5m
SERIES A
Total funding: $88.5m
Company HQ
Mount Pleasant, Vancouver, BC
Leadership
James G. Wells
(CEO)Joined the company as VP of Corporate Development in 2019, becoming CCO in 2020 and CEO in 2024. Previously Board Director at a number of companies, and VP of Investments at Evok Innovations.
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