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Research Engineer/Scientist (all levels), World Models

San Jose, California · Full-time · Posted Oct 28, 2026

Experience
Extensive research experience; no number of years specified.
Education
M.S. or Ph.D. in Computer Vision, Computer Graphics, or Machine Learning, or equivalent experience.

About the job

Develops research methods and infrastructure for large-scale, interactive world models, with a focus on long-horizon video generation and realistic physical dynamics.

What you'll do

  • Develop large-scale, diverse, interactive multimodal data-generation pipelines.
  • Develop training pipelines for long-context interactive video-generation models.
  • Advance video-generation models to capture temporal consistency, physical dynamics, object interactions, and causal relationships.

What they ask for

  • M.S. or Ph.D. in Computer Vision, Computer Graphics, or Machine Learning, or equivalent experience.
  • Extensive research experience in GenAI, multimodal foundation models, or Embodied AI.
  • Ability to communicate complex technical concepts and collaborate effectively within cross-functional research teams.

Nice to have

  • Experience in video generation and synthesis, efficient and real-time diffusion models, 3D/physics-based simulation, or reinforcement learning for agentic environment interaction.
  • First-author publications in venues including CVPR, ICLR, NeurIPS, SIGGRAPH, or ICML.

Tools

GenAI, multimodal foundation models, video generation, diffusion models, 3D/physics-based simulation, reinforcement learning

AI focus

Builds large-scale generative world models and interactive video-generation systems, emphasizing temporal consistency, realistic physics, object interactions, and causal relationships.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)