Research Scientist (Research)

About This Role

Researching reinforcement learning and related topics for next-generation physical AI is the core of this role, focusing on autonomous driving and robotic generalist applications. This position suits a passionate Research Scientist to join a group of leading experts creating cutting-edge technology.

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
• Dive 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

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

Nice to have:

• 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)

Benefits

• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the Company

Applied Intuition, Inc. powers the future of physical AI. Founded in 2017 and valued at $15 billion, the company creates digital infrastructure to bring intelligence to every moving machine. It services the automotive, defense, trucking, construction, mining and agriculture industries and is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.