Backend Engineer - 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.

Responsibilities - Build and maintain high performance online services for recommendation system - Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc - Build globalized large-scale recommendation system - Design and develop high performance computing frameworks and storage systems - 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

Minimum Qualification(s) - Bachelor's degree or above, majoring in Computer Science, or related fields, - Experience building scalable system; - Experience programming in at least one of the following programming languages: C, C++, Java or Golang;

Preferred Qualification(s) - Effective communication skills and a sense of ownership and drive; - Experience in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus. - At least 3 years of relevant experience