Research Intern - World-Action Foundation Model, Robotics

Applied Intuition is seeking multiple passionate Research Interns to join its Research Group, focusing on advancing next-generation physical AI. The team emphasizes two transformative applications: end-to-end autonomous driving and robotic generalists. Comprising leading experts from top institutions, the group has earned eight Best Paper awards at premier conferences and journals such as CVPR and ICRA.

Interns will conduct research on pretraining world-action foundation models using various world modalities, including vision and physics associated with ego actions. This research aims to enhance both robot action and simulation world generation. Key topics include vision-physics modality association, feed-forward Gaussian splatting, world foundation models, human data incorporation, language modality, spatial reasoning, and deformable object modeling and simulation. Interns will collaborate closely with Research Scientists and Engineers to produce high-quality research publications for submission to top-tier conferences.

Candidates should have a strong research background and skills in relevant topics, with the ability to work both independently and collaboratively. Current PhD or MSc studies in machine learning, computer vision and graphics, or robotics are required. A passion for next-generation, scalable autonomy and robotics is essential.

Applied Intuition offers a dynamic, fast-paced, and customer-focused culture where research contributions directly impact customer programs and deliver business value. Interns will have access to industry-leading tools and infrastructure, including millions of miles of data from large fleets, and the opportunity to deploy developed methods into various autonomous and robotic systems, such as self-driving cars, autonomous mining and construction machines, humanoid robots, and dexterous hands.