Drimva

TikTok

Research Scientist Graduate (TikTok Trust and Safety) - 2027 Start(PhD)

Seattle, Washington · Full-time · Posted Oct 28, 2026

Experience
Research experience in at least one of computer vision, multimodality, or LLM; no number of years stated.
Education
Completing or recently completed a PhD degree in computer science or a related discipline.

About the job

Develop computer vision and multimodal models to identify violating content on TikTok, explore LLM applications, and optimize large-model training frameworks.

What you'll do

  • Develop computer vision or multimodal models to recognize violating content.
  • Explore multimodal and computer vision large models, and LLM applications such as pre-training and zero-shot/few-shot learning.
  • Optimize the training framework for large-model training.

What they ask for

  • Completing or recently completed a PhD in computer science or a related discipline.
  • Research experience in at least one of computer vision, multimodality, or LLMs.
  • Proficiency in at least one deep learning framework, such as PyTorch or TensorFlow.
  • Ability to commit to an onboarding date by the end of the year; state availability and graduation date in the resume.

Nice to have

  • Papers published in major AI conferences or journals, such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, or IJCV.

Tools

PyTorch, TensorFlow, CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G

AI focus

Develop content-violation recognition models; explore multimodal and computer vision large models and LLM applications, including pre-training, zero-shot/few-shot learning, and hard case mining.

Model-written summary · the original posting is authoritative

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