WaabiVerified Source

Research Scientist World Models Waabi

155K–269K
Partially · San Francisco, California
Posted August 3, 2026
payroll

Overview

Waabi seeks a Research Scientist to lead development of large-scale world models for temporal reasoning and generation. This role drives the creation of next-generation simulation systems that power autonomous trucks and robotaxis. Candidates will build algorithms that model complex dynamic environments and generate realistic safety-critical scenarios. Success directly impacts Waabi World's ability to simulate future evolution and train robust autonomous systems.

What You'll Do11

  • 1Conduct fundamental research in generative predictive world-modeling techniques
  • 2Develop video generation and prediction models using latent diffusion autoregressive flow-matching approaches
  • 3Create multimodal foundation models for driving scenes and traffic participant understanding
  • 4Implement LLM VLM VLA methods for scene reasoning and control
  • 5Design controllable simulation frameworks for generating synthetic driving scenarios
  • 6Perform model distillation to improve efficiency without sacrificing quality
  • 7Integrate advanced models into distributed training and rendering pipelines
  • 8Publish high-impact research at top-tier conferences
  • 9Mentor junior scientists while fostering rigorous scientific experimentation
  • 10Stay current with advances in generative AI differentiable rendering and knowledge compression
  • 11Collaborate cross-functionally to translate research into production-ready solutions

Requirements8

  • 1Ph.D. in Computer Vision Machine Learning Robotics or related field
  • 2Expert proficiency in Python PyTorch or JAX with strong software engineering skills
  • 3Proven track record of building generative predictive models at scale
  • 4Deep domain expertise in physical world modeling and simulation
  • 5Strong collaboration abilities in multidisciplinary teams
  • 6First-author publications in top conferences on world models or generative simulation
  • 7Experience with distributed training systems and large-scale model deployment
  • 8Commitment to continuous learning in cutting-edge AI technologies

Salary Insight

$155 - $269k per year

Location

Typepartially
LocationSan Francisco, California

Required Skills

PythonPyTorchJAXDistributed TrainingGenerative ModelsVideo GenerationLatent DiffusionAutoregressive ModelsFlow-Matching ModelsMultimodal Foundation ModelsLLM
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