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

The Robot Age; Sunnyvale, Northern (CA, KY); Hybrid; USD 34,000 - 55,000; Full time

Job summary

Applied Intuition in Sunnyvale is offering a research internship in its physical AI group focused on 3D vision and world-modeling. This role sits at the boundary of publication and deployed autonomy, with applications across self-driving systems and robotics.

You will work with research scientists and engineers, run experiments, and test ideas using fleet-scale data and the company’s tooling. Eligible candidates are currently pursuing a PhD or MSc in ML, vision, graphics, or robotics and show a

Qualifications

• 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.

Responsibilities

• 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

Job description

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.