Our Trust and Safety RD team is fast-growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts of our team, TikTok can provide the best user experience and bring joy to everyone in the world. We are looking for people like you with solid experience in designing and deploying state-of-the-art models in the combination of NLP and CV-related areas. This position will work with a team of excellent research scientists and machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform.

Build efficient content recognition models for critical scenarios such as CSAM (Child Safety), CBS (Cross-border Sync), and Misinformation, to enhance the automation capability of content moderation.

Address challenges in cross-lingual, multimodal, and low-resource environments to improve model generalization under complex compliance constraints.

Collaborate with Recommendation, Policy, and Product teams to develop joint safety strategies, enabling flexible governance from content recognition to traffic control.

Participate in the full-stack development process—from data curation and strategy modeling to model deployment—to continuously improve system response speed and compliance granularity.