Research Engineer (Reinforcement Learning, Self-Driving)

Reinforcement Learning, Self-Driving, Robotics, Computer Vision, Distributed Machine Learning Model Training.

• 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 to autonomous driving.
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences, and collaborate with engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles.
• Contribute to and learn from best practices in the autonomy and robotics industries within a fast-paced and customer-focused culture, and ensure improvements deployed to the system immediately help customers with their programs.
• We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
• VLA post-training for autonomy or robotics
• Self-play RL and imitation learning, behavior learning
• Large-scale RL training infrastructure (Ray preferred)
• Large-scale closed-loop RL in driving simulation
• 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
• Industry experience on relevant topics (self-driving application preferred)
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Passion for building and shipping customer-focused software frameworks or tools
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
• Hands-on experience in at least one of the following fields: