Drimva

TikTok

Research Scientist/Software Engineer Manager, TikTok-Neural Graphics and World Models

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

Experience
5+ years of relevant research or industry experience; doctoral research may count toward this experience.
Education
PhD/MS, or equivalent research experience, in machine learning, computer graphics, robotics, applied mathematics, or a related technical field.

About the job

Leads research and engineering for AI models, neural representations, and data and evaluation methods that power interactive neural graphics and world-generation systems.

What you'll do

  • Lead research in neural graphics, world models, 3D modeling, animation, simulation, or rendering; develop, train, adapt, and evaluate AI models.
  • Define data and evaluation strategies, build research prototypes, and collaborate with engineering teams to integrate successful models into real-time engine workflows.
  • Analyze results and technical risks, communicate research direction, produce reproducible artifacts, and mentor team members.

What they ask for

  • PhD/MS, or equivalent research experience, in machine learning, computer graphics, robotics, applied mathematics, or a related technical field.
  • 5+ years of relevant research or industry experience; doctoral research may count toward this experience.
  • Modern machine-learning expertise and hands-on experience training or adapting generative models, with deep expertise in at least one model, training, data, evaluation, or scaling area.
  • Engineering fluency with PyTorch or JAX, and deep expertise in at least one AI-for-graphics area named in the posting.

Nice to have

  • Publications at leading research venues such as SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, RSS, or CoRL.
  • Experience with novel AI-for-graphics methods, multimodal or controllable world generation, interactive world-model learning, or real-time engine deployment.

Tools

PyTorch, JAX, variational autoencoders, latent tokenizers, diffusion, flow-matching models, diffusion transformers, multimodal transformers

AI focus

Develops AI-native graphics and world-generation systems, including generative models and neural representations for scene generation, animation, simulation, rendering, and interactive worlds.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)