Research Scientist (Research)

Job description

Job responsibilities

• Conduct research on reinforcement learning (RL) related topics including large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving
• Diving into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation, and relevant topics such as reward learning
• 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 autonomous systems and robotics, 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
• Self-play RL and imitation learning, behavior learning
• VLA post-training for autonomy or robotics
• Large-scale closed-loop RL in driving simulation