Software Engineer in Machine Learning Infra - TikTok Recommendation Architecture

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

• Serving and training infra optimization of machine learning models - Build and maintain high performance online services for TikTok recommendation system - Build globalized large-scale recommendation system - Research, design, and develop computer and network software or specialised utility programs - Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis - Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures - Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements