TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.

We use AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time.

We are a technical team distributed in Beijing, the Bay Area of the United States, Singapore and other places. We sincerely invite you to join us and build the most advanced risk control system in the industry.

Responsibilities:
1. Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc.
2. Responsible for the construction of models, such as AIGC model, semantic matching model, classification model, etc.
3. Responsible for the construction of text-related strategies, including keyword mining, rule mining, etc.
4. Participate in basic NLP capacity building, such as long/short text classification, seq2seq, NER, keyword mining, attention mechanism and other related technologies.