Research Intern - Reinforcement Learning,… at Applied… · Sunnyvale

Summary: Applied Intuition, Inc. is powering the future of physical AI, creating digital infrastructure for autonomous systems. The Research Intern will conduct cutting-edge research in reinforcement learning, focusing on applications in autonomous driving and robotics. 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 the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences Required Qualifications: - Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects - Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics - Passion for next-generation, scalable autonomy and robotics Required Skills: Reinforcement Learning, Machine Learning, Computer Vision Important Skills: Robotics Nice-to-Have Skills: Research Skills, Passion for Autonomy, Collaboration