Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation systems to provide the most stable and best experience for our users. We cover almost all the short‑text recommendation scenarios, such as search suggestions, the video‑related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving search awareness.

• Build and maintain high‑performance online services for our recommendation system.
• Build extremely efficient and reliable data pipelines for candidate generation, profile generation, training examples generation, realtime online training, etc.
• Build globalized large‑scale recommendation systems.
• Design and develop high‑performance computing frameworks and storage systems.

Successful candidates must be able to commit to an o...