Expert scientifique

Sanctuary AI

Your New Role and Team

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

As our Expert 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
• Devising 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

Your Experience

Qualifications

• 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
• 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

Skills

• Development with Python 3.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

Working at Sanctuary AI

Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company.

Compensation and Benefits

Sanctuary offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. p>

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.