Research Scientist - Reinforcement Learning, Self-Driving
Applied Intuition is seeking multiple passionate Research Scientists to join its Research Group, focusing on creating cutting-edge technology for next-generation physical AI. The team emphasizes two transformative applications: end-to-end autonomous driving and robotic generalist systems. Composed of leading experts from top institutions and companies, the group has been recognized for exceptional academic and industry contributions, including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA.
In this role, you will conduct research on reinforcement learning (RL) topics, including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL based on neural simulation, with applications to autonomous driving. You will delve into fundamental RL topics with broader applications, incorporating imitative behavior learning and exploring areas such as reward learning. Collaboration with other Research Scientists and interns on research publications for top-tier conferences is expected, as well as working with Research Engineers and engineering teams to test and deploy algorithms to autonomy and robotics products.
Candidates should have a strong research record in RL and VLA post-training for autonomous systems and robotics, with publications in top-tier conferences or journals in computer vision, machine learning, and robotics. A Master's or PhD in machine learning and computer vision with applications in autonomy and robotics or closely related fields is required. The role demands 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 is essential.
Compensation includes a base salary ranging from $126,000 to $423,000 annually, equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life, and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off. Benefits are subject to change and may vary based on the jurisdiction of employment.
Applied Intuition fosters a fast-paced and customer-focused culture, providing researchers access to millions of miles of data from large fleets. This environment enables the deployment of developed methods into various autonomous and robotic systems, including self-driving cars and trucks, autonomous mining and construction machines, humanoid robots, and dexterous hands. Improvements deployed to the system immediately assist customers with their programs and deliver value to the business.