Research Intern - Reinforcement Learning, Self-Driving

Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;

Job 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

Job requirements

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

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Research Intern - Reinforcement Learning, Self-Driving

Job description

Job responsibilities

Job requirements

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