Vacancy Description
About the Team:
Our Live Recommendation Architecture Team is responsible for building and optimizing the architecture for a live broadcast recommendation system to provide the most stable and best experience for our users. The team ensures system stability, high availability, online services, and offline data flow performance optimization, solves system bottlenecks, reduces cost overhead, builds data and service mid-platform, and realizes flexible and scalable high‑performance storage and computing systems. We work closely with applied machine learning engineers to build scalable systems that support innovative algorithms and techniques.
We are looking for talented individuals to join our team in 2026. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite.
Mandatory must‑must commit to an onboarding date by the end of ye...
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