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