Team Introduction:
The Live Streaming Recommendation Core Technology Team is primarily responsible for foundational models and distribution pipelines in live streaming recommendations, including model iteration for modules such as precision ranking, first stage ranking, and recall. The team's key focus is optimizing algorithmic efficiency by addressing business challenges unique to live streaming content, deeply understanding user needs, and building industry-leading recommendation models. Additionally, the team serves as a centralized platform to support iterative improvements across various verticals within live streaming, accelerating business growth.

1. Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
2. Understand product objectives and machine learning techniques; improve model and recommendation strategy;
3. Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
4. Understand content security strategy and apply ML algorithms to improve content audit process;
5. Work with cross functional teams to grow ByteDance product in important regional markets.