Staff Research Scientist, Dexterous Manipulation at Sanctuary AI

Vancouver, British Columbia, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

Requirements

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 CORLS
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
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

Responsibilities

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
Choose the most cutting-edge methods
Create training and data collection systems
Oversee the evaluation of these algorithms in simulated environments
Implement them on robots in real-world situations

Skills

Key technologies and capabilities for this role

Reinforcement LearningImitation LearningRobotic ManipulationDexterous ManipulationSimulation EnvironmentsHaptic SensingProprioceptive SensingData Collection PipelinesMachine Learning

Questions & Answers

Common questions about this position

What qualifications and experience are required for this Staff Research Scientist role?

A Ph.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background in RL/IL is required, along with 5+ years of hands-on experience implementing robotic manipulation tasks in simulation and on physical robots, 5+ years applying RL/IL methods in real-world robotics, and 4+ years developing large-batch parallel simulations.

What technical skills are needed for this position?

Key skills include development with Python 3.8 or later, working knowledge of PyTorch and/or TensorFlow, familiarity with ROS2, and expertise in Reinforcement Learning principles and their application.

Is this role remote or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What traits make a strong candidate for this role?

Strong candidates have a consistently positive attitude, willingness to do whatever it takes to create robust solutions, strong leadership skills in organizing R&D work for ML projects, and eagerness to take on new challenges.

Sanctuary AI

Develops humanoid robots for workplace automation

About Sanctuary AI

Sanctuary AI develops humanoid robots designed to work alongside humans in various industries. Their main product, Phoenix™, is a general-purpose robot that can be remotely piloted or operate autonomously, allowing it to observe, assess, and perform tasks as needed. This versatility enables businesses to automate processes, enhance efficiency, and improve safety in the workplace. Unlike many competitors, Sanctuary AI focuses on creating robots that can seamlessly integrate into human work environments, providing training for these robots to ensure effective collaboration. The goal of Sanctuary AI is to advance the capabilities of AI and robotics to create safer and more productive workplaces.

Vancouver, CanadaHeadquarters

2018Year Founded

$86.1MTotal Funding

GRANTCompany Stage

Robotics & Automation, AI & Machine LearningIndustries

51-200Employees

Benefits

Medical, dental, & vision insurance

Wellness programs

Stock options

PTO

Schedule flexibility

Risks

Leadership changes, like Geordie Rose stepping down, may disrupt strategic direction.

Increased competition from well-funded companies could challenge Sanctuary AI's market position.

Technical hurdles in achieving human-level dexterity may delay product deployment.

Differentiation

Sanctuary AI developed Phoenix™, the first general-purpose humanoid robot with human-like intelligence.

Their proprietary AI system, Carbon™, enables autonomous task execution and remote supervision.

Sanctuary AI's tactile sensor technology enhances robot dexterity, setting them apart in robotics.

Upsides

Sanctuary AI secured $140 million in funding, boosting innovation and development capabilities.

Phoenix™ was recognized in TIME’s Best Inventions 2023, enhancing brand visibility and credibility.

Prominent investors like Accenture and Verizon Ventures show confidence in Sanctuary AI's potential.

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