TikTok is looking to solve the problem of protecting its platform and users from content and behaviors that violate community guidelines and related regulations by developing state-of-the-art computer vision, NLP, and multimodality models and algorithms.
Requirements
- PhD degree in computer science 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)
- Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc
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
- Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws
- 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
- Day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits
- TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws
