Research Intern - 3D Vision and Generation, Self-Driving

What the role actually is

Applied Intuition is hiring research interns for its physical AI research group in Sunnyvale. This internship focuses on 3D vision and generation, including world-action foundation models, multimodal pretraining, Gaussian splatting, and world models for autonomy.

The work sits between research publication and deployed autonomy infrastructure, with applications across self-driving vehicles, industrial machines, humanoids, and dexterous robotic systems.

What you would work on

• Run research on 3D vision, generation, and world-modeling methods
• Explore approaches that can transfer across autonomous driving and robotics
• Collaborate with research scientists and engineers on conference-quality work
• Use Applied's autonomy tooling and fleet-scale data to test physical AI ideas

What they are asking for

• Current PhD or MSc study in machine learning, computer vision, graphics, or robotics
• Strong research background in relevant 3D vision or generative modeling topics
• Ability to work independently while collaborating with an applied research team
• Interest in scalable autonomy and robotics rather than purely offline benchmarks

Why this one is worth a look

The interesting part here is the bridge between self-driving research and broader robot behavior. Applied is explicitly positioning the group around physical AI systems that span trucks, industrial machines, humanoids, and dexterous hands, so the internship could expose a researcher to several embodied domains at once.