Job Description

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About the teamOur Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, 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 TikTok's search awareness.ResponsibilitiesDesign and implement a reasonable offline data architecture for large-scale recommendation systemsDesign and implement flexible, scalable, stable and high-performance storage and computing systemsTrouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production systemBuild industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systemsDevelop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation softwareApplying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasetsVisualise, interpret, and report data findings and may create dynamic data reports as well