Joblaze summary

The Research Intern in Reinforcement Learning at Applied Intuition will engage in cutting-edge research focused on large-scale reinforcement learning applications, particularly in autonomous driving. Candidates should possess a strong academic background in machine learning or robotics, with the ability to collaborate effectively on high-quality research publications. This role is ideal for those pursuing advanced degrees and passionate about scalable autonomy and robotics, contributing to a team recognized for its significant contributions to the field.

Joblaze insights

Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page November 2, 2026.
Machine Learning appears in 33.9% of 118 comparable intern ai/ml roles in United States; reinforcement learning appears in 5.1% of 118 comparable intern ai/ml roles in United States.

Quick facts

Is the Research Intern - Reinforcement Learning, Self-Driving role remote?: No — this is an on-site role in Sunnyvale.
Where is the role based?: Applied Intuition is hiring for this position in Sunnyvale.
What's the tech stack?: Joblaze extracted these technologies from the posting: Machine Learning, Robotics, autonomous driving, reinforcement learning.
What seniority level is this role?: Applied Intuition targets intern candidates for this position.
Is this full-time or contract?: Internship for this Research Intern - Reinforcement Learning, Self-Driving role at Applied Intuition.

From the original posting

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. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions—including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA. Learn more at appliedintuition.com/research.

Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

At Applied Intuition, you will:

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

We’re looking for someone who has:

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
1+ year of research experience in autonomy, self-driving, or related field
Passion for next-generation, scalable autonomy and robotics

Standard company text repeated across Applied Intuition's postings is omitted here.

Research Intern - Reinforcement Learning, Self-Driving

About the role:

At Applied Intuition, you will:

We’re looking for someone who has:

Similar positions