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.
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