Research Intern - World-Action Foundation Model, Robotics

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 pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation.
• Dive into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning, deformable object modeling and simulation.
• 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.
• Currently enrolled in a PhD (or MSc) program in machine learning, computer vision and graphics, robotics.
• Passion for next-generation, scalable autonomy and robotics.

Qualifications

• PhD (or MSc) studies in machine learning, computer vision and graphics, robotics.

Skills

• Research skills.
• Collaborative skills.
• Technical expertise in machine learning, computer vision, and robotics.

Benefits

• Flexible work schedule, including occasional remote work.
• Opportunities to contribute to and learn from best practices in the autonomy and robotics industries.
• Immediate improvements to our system can help our customers with their programs and deliver value to our business.

Pay

TBD

Schedule

Primarily works from the Applied Intuition office 5 days a week, with flexibility for remote work and managing personal commitments.