Generative AI Researcher Intern
Core
Design, train, and fine-tune 3D generative models for low-poly mesh generation, texture/material creation, and animation rigging to enable 3D content creation from text or images.
Role type
Generative AI Research Intern (3D Graphics)
Builds
3D generative models (meshes, textures, materials) for game/film production, 3D printing, and industrial design
Domain
3D Generative AI, Computer Graphics, Diffusion Models, Autoregressive Models
Deliverable
production ML models
Required skills
Transformer architecture understanding, Python programming, Tensor programming, Mesh analysis and discretization, Tokenizer design, Model training optimization (CPU/GPU memory management)
Preferred skills
Experience with autoregressive and discrete diffusion paradigms, PBR stack generation, Architectural model acceleration
Technologies
Python, Tensors, Diffusion models, Autoregressive models, GPU/CPU pipelines
Responsibilities
Design and implement pre-training, post-training, and emerging paradigms for 3D generative models; Analyze and process meshes to design tokenizers for generative model ingestion; Accelerate model training by maximizing memory usage and eliminating pipeline bubbles; Advance state-of-the-art in Diffusion and Auto-regressive models for high-resolution texture generation.
Seniority
Intern
