TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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 are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking an Engineering Manager experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.

Responsibilities
1. Explore foundation models and Generative AI and their application in business, including but not limited to text generation/translation, image-to-text, deepfake, efficient training/inference for AIGC models, etc. Track the cutting-edge industry progress, and proactively plan for technical research.
2. Lead the team to implement AIGC technologies to content understanding of commercial products, such as ads, e-commerce, short videos, and live streaming, and build a new generation of AIGC-based monetization ecology systems.
3. Responsible for the project planning, team building, and cross-team collaboration of the large-scale model algorithm team to build an industry-leading content understanding algorithm team.