Research Scientist - Reinforcement Learning, Robotics

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
• Dive 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

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

Nice to Have

• Hands-on experience in at least one of the following fields:
  • VLA post-training for autonomy or robotics
  • Large-scale closed-loop RL in robotic simulation
  • Large-scale RL training infrastructure

Compensation

• Base salary range: $126,000 - $423,000 USD annually
• Equity, comprehensive health/dental/vision/life/disability insurance, 401k with employer match, learning/wellness stipends, paid time off