Research Engineer - Reinforcement Learning, Self-Driving

Job description

Job responsibilities

• Conduct research on reinforcement learning (RL) and its training infrastructure, including topics on large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications…
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
• Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Job requirements

• Hands-on experience in at least one of the following fields Self-play RL and imitation learning, behavior learning
• VLA post-training for autonomy or robotics
• Large-scale closed-loop RL in driving simulation
• Large-scale RL training infrastructure (Ray preferred)
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong engineering and 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