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.

About The Team
The Multimedia Arch team is responsible for user experience optimization and cost optimization for the whole video on demand and live streaming system. We are building intelligence and personalized end-to-end multimedia systems to power the whole Tiktok ecosystem.
We are currently seeking a passionate machine learning engineer to join our team. In this role, you will collaborate with the product and engineering teams to identify opportunities and improve overall system performance and efficiency by integrating AI algorithms across the entire multimedia system. Your responsibilities will include designing service-side ML systems, implementing ML models, and validating their impact on the overall system through A/B testing.

Responsibilities:
- Develop production machine learning solutions to understand user preferences and video contents, predict video popularity and the change of system resources to build a world class personalized multimedia experience.
- Collaborate with engineering team and product team to shape the architecture roadmap applying ML.
- Design and optimize the pipelines for server-side machine learning models, including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.