Research Scientist Graduate Trust and Safety - CV​/NLP​/Multimodal LLM BS​/MS

Position: Research Scientist Graduate - (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start (BS/MS)
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, Tik Tok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

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.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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

Minimum Qualifications:

1. Individuals who are completing or have recently completed a Bachelor's or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. Related Research Experience at least one of the following areas: computer vision, multimodality, LLM
3. Be proficient with at least one deep learning framework (e.g. PyTorch, Tensor Flow)
4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

Preferred Qualifications:

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