Backend Engineer, TikTok Recommendation Architecture Live

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.

This person will be responsible for the design and development of the live broadcast recommendation system architecture, ensuring system stability and high availability; responsible for online services, offline data flow performance optimization, solving performance bottlenecks, reducing costs and unlocking; common components and services of the postal image system, building recommendation platforms, and supporting new Factory incubation.

Responsibilities

• Responsible for the live broadcast recommendation architecture of TikTok and it's affiliated products, and solve the architecture optimization problem of the recommendation architecture system
• Support the design and development of the live broadcast SaaS recommendation system, and the output core recommendation capabilities of bytes and high-quality content to partners
• Focus on Architecture abstraction and process optimization for recommendation scenarios, support large-scale machine learning optimization
• Focus on large-scale systems with high concurrency and high throughput, improve system stability, performance, and scalability
• Research and development and optimization of core components, application and implementation of new technologies
• 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 in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
• Solid programming ability, excellent design and code style, enthusiastic about technical challenges

Preferred Qualification(s)

• Effective communication skills and a sense of ownership and drive;
• Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.