Joblaze summary

The Research Intern at Applied Intuition focuses on advancing reinforcement learning techniques, particularly in large-scale closed-loop systems and robotic dexterous manipulation. Candidates should have a strong academic background in machine learning or robotics, ideally at the PhD or MSc level, and be prepared to collaborate closely with experienced researchers on high-impact publications. This role is suited for individuals passionate about scalable autonomy and robotics, eager to contribute to cutting-edge technology in a fast-paced environment.

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, Robotics 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, 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, Robotics 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 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 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, Robotics

About the role:

At Applied Intuition, you will:

We’re looking for someone who has:

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