Backend Engineer Graduate (Live Recommendation Architecture) - 2026 Start (BS/MS)
Core
Building and optimizing the architecture for a live broadcast recommendation system to ensure stability, high availability, and performance for users.
Role type
Graduate Backend Engineer (Live Recommendation Architecture)
Builds
High-performance online services, data pipelines for candidate/profile generation, and scalable storage/computing systems for the live recommendation engine.
Domain
Internet / Live Streaming / Recommendation Systems
Deliverable
production ML models | product features | infrastructure
Required skills
C, C++, Java, Golang, distributed systems, high-performance computing, software architecture, system stability optimization
Preferred skills
personalized recommendations, search engines, machine learning, big data frameworks
Technologies
C, C++, Java, Golang
Responsibilities
Build and maintain high performance online services for the Live Recommendation System; Build efficient data pipelines for candidate generation and realtime online training; Design and develop high performance computing frameworks and storage systems; Research, design, and develop specialized utility programs for the system.
Seniority
Graduate (Entry-level)
