PhD Research Intern, 3D World Models

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.

We're looking for bold, innovative individuals driven by a passion for pushing the boundaries of generative 3D AI. You should thrive in an environment where creativity meets technical challenge and be fearless in tackling the hardest problems in 3D world modeling. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition. As a part of SpAItial, you'll be at the forefront of building World Models that bridge generative AI and the physical world. If you're ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you.

We're seeking PhD Research Interns to work with our research team on open problems in 3D generation and reconstruction. You should have strong knowledge of at least one of our core areas, such as generative video and diffusion models, scene representations like Gaussian splats and radiance fields, or 3D reconstruction from per-scene optimization to feed-forward models. Over a 5-7 month internship, you will own a well-defined research question with the goal of publishing a paper.