Generative AI - 3D Foundation Model
Core
Drive the development of a 3D-native generative foundational model to advance the state of the art in 3D AI and enable real-world applications in game/film production, 3D printing, and robotics.
Role type
Senior IC research scientist / machine learning engineer (3D generative models)
Builds
Large-scale 3D generative models (pre-training, post-training, diffusion, flow matching) deployed in products used by millions of creators.
Domain
Generative AI, 3D computer graphics, multi-modal learning
Deliverable
production ML models
Required skills
Python, PyTorch, Transformer architecture, diffusion models, flow matching, VAE, multi-modal learning, high-performance training on large-scale infrastructure
Preferred skills
Open-source ML contributions, publications in top-tier CV/ML conferences, familiarity with SLURM/Ray/k8s
Technologies
PyTorch, Transformers, Diffusion, Flow Matching, VAE, SLURM, Ray, k8s
Responsibilities
Design, train, and refine large-scale 3D generative models; bridge research and product by deploying models with human feedback; create novel model architectures for speed and quality; collaborate on scalable training and data pipelines; build reproducible experiments and software; share insights via demos, open-source, or reports.
