Team Introduction
Our TikTok Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join us for an internship from Sept. 2025 onwards. Internships at TikTok aim to offer students industry exposure and hands‑on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. <...