Research Scientist World Models
SpAItialVisit SpAItial website
SpAItial is an AI company building physically grounded world models that generate persistent, explorable 3D worlds from text, images, and panoramas.
London, United Kingdom
Funding history
About SpAItial
SpAItial Ltd operates the Echo model family, a spatial-AI product available through a web app and developer API for generating, editing, sharing, and exporting 3D Gaussian Splat worlds.
Skills
About the Role
You will architect generative world models that reason about space, time, and physics. You will design image and video diffusion models, train them at scale on distributed cloud infrastructure, maintain training data, create model demonstrations, and productionize and optimize models at test time.
Requirements
- PhD in computer science or a related field
- Top-tier publication record in machine learning, vision, or graphics
- Knowledge of image or video diffusion generative models
- Knowledge of diffusion-transformer architectures including DiT
- Experience with deep-learning frameworks including PyTorch
- Expert coding skills and ability to rapidly iterate on machine-learning experiments
- Experience using modern AI coding tools
Responsibilities
- Architect generative world models that reason about space, time, and physics
- Design and develop image and video diffusion foundational models
- Train models at scale on distributed cloud infrastructure
- Develop demonstrations for trained model prototypes
- Process and maintain large datasets for model training
- Productionize models and optimize them at test time