Research Scientist, World Models
Core
Develop algorithms and productionize next-generation world models for temporal reasoning and generation in complex, dynamic 4D environments to power autonomous driving simulation.
Role type
Senior IC research scientist (generative/predictive world models)
Builds
Waabi World (large-scale simulation platform for autonomous trucks and robotaxis)
Domain
Autonomous driving / Physical AI / Generative AI
Deliverable
production ML models
Required skills
generative and predictive world-modeling, video generation and prediction, latent diffusion / autoregressive / flow-matching models, multimodal foundation models for driving scenes, LLM / VLM / VLA methods, generative scenario modeling, controllable simulation, model distillation, distributed training, differentiable rendering
Preferred skills
translating research into production-quality code, first-author publications in top-tier venues
Technologies
Python, PyTorch, JAX
Responsibilities
Conduct fundamental and applied research in generative and predictive world-modeling, Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines, Publish high-impact research at top conferences, Mentor junior scientists and interns
Seniority
Senior, hands-on IC