The algorithm team at TikTok is responsible for developing state-of-the-art computer vision, NLP, and multimodality models and algorithms to protect the platform and users from content and behaviors that violate community guidelines and related regulations, aiming to provide the best user experience and bring joy to everyone in the world.
Requirements
- 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)
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.
Other
- Master or Bachelor degree in computer science or a related technical discipline
- Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
- Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc
