TikTok
Tech Lead Research Scientist/Software Engineer, TikTok-Neural Graphics and World Models
San Jose, California · 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 and neural representations that generate and power interactive graphics and persistent digital worlds.
What you'll do
- Lead research in neural graphics, world models, 3D modeling, animation, simulation, or rendering; develop and evaluate models and representations.
- 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 risks, communicate technical direction, produce reproducible research 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.
- Up-to-date machine learning expertise and hands-on experience training or adapting generative models; engineering fluency with PyTorch or JAX.
- Deep expertise in at least one AI-for-graphics area, plus demonstrated ability to design controlled experiments and translate research prototypes into engine pipelines.
Nice to have
- Publications at leading research venues such as SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, RSS, or CoRL.
- Experience with AI-for-graphics architectures, data and evaluation methods; multimodal or controllable world generation; interactive learning or control; or real-time engine workflows.
Tools
PyTorch, JAX, variational autoencoders, latent tokenizers, diffusion or flow-matching models, diffusion transformers, autoregressive models, multimodal transformers
AI focus
Develops, trains, and evaluates AI models and neural representations for interactive graphics, world generation, animation, simulation, and rendering.
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