Research Scientist - Reinforcement Learning, Robotics

Job description

Job responsibilities

• Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
• Diving into fundamental and relevant topics on RL with broader applications
• Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
• Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and robotics products

Job requirements

• Strong research record in the fields of RL and VLA post-training for robotics and autonomous systems, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong research skills and the ability to work both independently and collaboratively on projects
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
• VLA post-training for autonomy or robotics
• Large-scale closed-loop RL in robotic simulation
• Large-scale RL training infrastructure