Research Intern - Reinforcement Learning, Self-Driving

About the role

We are looking for multiple passionate Research Interns to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist.

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 the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences

Requirements

• Strong research background and skills on relevant topics
• 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

Qualifications

While not all qualifications must be met, if you are excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor.

Skills

Not specified

Benefits

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Pay

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Schedule

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