Senior AI Researcher - World Foundation Models
Core
Developing and validating world foundation models for high-fidelity, temporally stable video and world generation, focusing on human appearance, motion, and action understanding.
Role type
Senior AI Researcher (World Foundation Models)
Builds
Production-grade checkpoints, training code, and demos for Physical AI, simulation, and interactive experiences.
Domain
Generative AI, Computer Graphics, Physical AI
Deliverable
production ML models
Required skills
Generative model design (diffusion/flow-based), Deep learning fundamentals, Python, PyTorch, C++, CUDA, Multi-GPU distributed training, Model optimization (distillation/pruning/compression), Perceptual quality evaluation, Neural rendering
Preferred skills
Agentic workflows, AI coding companions, Top-tier conference publications (NeurIPS/CVPR/ICLR)
Technologies
PyTorch, CUDA, C++, Python, Multi-GPU environments
Responsibilities
Research and validate model architecture changes for video generation fidelity; Prototype improvements in spatial multimodal modeling and neural rendering; Optimize training/inference efficiency; Define training objectives for sim-to-real generalization; Develop domain-specific benchmarks; Translate research into robust production implementations.
Seniority
Senior, hands-on IC
