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

• 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

• Individuals who are completing or have recently completed a PhD degree in Computer Science, Computer Engineering, Software Development, or a related technical discipline.
• Related Research Experience at least one of the following areas: computer vision, multimodality, LLM
• 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

• Published papers in the accredited academic conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.