Your New Role and Team
Sanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation tasks.
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.
Success Criteria
Create, develop, and enhance cutting-edge Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and evaluate their performance in practical applicationsStay current with the latest developments in RL/IL techniques and their application in roboticsIdentify, communicate, and lead research initiatives that show promise to the wider ML teamDiscover strategies for enhancing current RL/IL learning processes, considering key performance metrics like sample efficiency, speed, computational resources, and scalabilityDevise RL/IL training and data collection pipelines to expedite implementation on physical robotsCollaborate 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 robots5+ years of practical experience applying various Reinforcement Learning and/or Imitation Learning methods, with focus on robotics in the real world4+ years experience in developing and optimizing large-batch parallel simulations for Reinforcement LearningProven expertise in continual learning, employing adaptive model training to improve long-term performance and accuracyProven expertise in sim-to-real transferExperience in transitioning Machine Learning research and trained models into real-world productionActive involvement in integrating Machine Learning models into a robotics platformA track record of publishing research in esteemed AI conferences such as ICRA, IROS and CORL
Skills
Development with Python 3.8 or laterWorking knowledge of PyTorch and/or TensorFlowFamiliarity with ROS2Expertise in use of Reinforcement Learning principles and their applicationExperience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab
Traits
Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsStrong leadership skills in organizing R&D work for ML projectsEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesEnthusiasm for bringing human-like intelligence to machinesAbility to drive development of new functionalities from concept to productionAbility to multitask and prioritize in a fast paced environment
