The ByteDance Recommendation Architecture Team is responsible for the design and development of the recommendation system architecture for ByteDance's related products. The team ensures stability and high availability of the system, optimizes performance of online services and offline data streams, resolves system bottlenecks, and reduces cost overheads. It abstracts common components and services, builds the recommendation middle‑office and data middle‑office to support rapid incubation of new products and enable ToB services.

• Build an intelligent system to achieve standardized definition of recommendation strategies, long‑term and offline evaluation, automatic identification and retirement of ineffective strategies, and removal of related code configurations.
• Leverage large model capabilities to optimize parameters and configurations of systems and underlying components for diverse business loads in recomm...