Research Scientist - Reinforcement Learning, Robotics

Applied Intuition•Sunnyvale, CA

1d•Onsite

About The Position

Applied Intuition is seeking multiple passionate Research Scientists to join their Research Group. This group focuses on creating cutting-edge technology for next-generation physical AI, with a particular emphasis on end-to-end autonomous driving and robotic generalist applications. The team comprises leading experts with significant academic and industry contributions. Researchers have access to industry-leading tools and infrastructure, including millions of miles of data from large fleets, and can deploy their developed methods into various autonomous and robotic systems such as self-driving cars/trucks, autonomous mining/construction machines, humanoid robots, and dexterous hands. The role involves contributing to research publications, collaborating with Research Engineers and engineering teams for algorithm deployment, and learning best practices within a fast-paced, customer-focused culture. The company is open to all years of experience, including those with potential Tech Lead and Manager capacity. Applied Intuition is an in-office company, with the expectation that employees primarily work from their office 5 days a week, though occasional remote work is recognized for flexibility.

Requirements

Strong research record in the fields of RL and VLA post-training for robotics and autonomous systems, 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 Haves

Hands-on experience in at least one of the following fields: VLA post-training for autonomy or robotics
Large-scale closed-loop RL in robotic simulation
Large-scale RL training infrastructure

Responsibilities

Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Diving into fundamental and relevant topics on RL with broader applications
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