Research Scientist Graduate - (Trust and Safety, CV/NLP/Multimodal LLM) - 2026 Start(PhD)

About TikTok

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Responsibilities

• Develop computer vision model or multimodality model to recognize violation content in TikTok
• Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
• Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
• Continuously optimize the training framework to better adapt to the training of large models

Requirements

• Individuals who are completing or have recently completed a PhD degree in Computer Science, Computer Engineering, Software Development, or a related technical discipline.
• Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)
• Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

Preferred

• Related Research Experience at least one of the following areas: computer vision, multimodality, LLM
• Published papers in the accredited academic conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc