Research Intern - World-Action Foundation Model, Robotics

Responsibilities

• Conduct research on pretraining world-action foundation models using various modalities, including vision and physics associated with ego actions.
• Explore topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation models, human data incorporation, and spatial reasoning.
• Investigate deformable object modeling, simulation, and language modality.
• Collaborate closely with Research Scientists and Engineers to produce high-quality research publications for submission to top-tier conferences.

Requirements

• Currently pursuing a PhD or MSc in machine learning, computer vision, graphics, or robotics.
• Strong research background and technical skills in relevant fields.
• Ability to work both independently and collaboratively on complex projects.
• A passion for developing next-generation, scalable autonomy and robotics.

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. We service the automotive, defense, trucking, construction, mining, and agriculture industries through tools, operating systems, and autonomy solutions. Our technology is trusted by eighteen of the top 20 global automakers and the United States military.