Backend Engineer, Data & AI for Large-Scale Recsys
Summary
Design and build offline computing systems for TikTok’s large-scale recommendation engine, using Flink and Spark to ensure stability and performance for billions of users.
TikTok is seeking an experienced professional to design and develop offline computing systems powering large-scale recommendation architectures for products with billions of users. You will work on ensuring system stability, scalable storage, and high-performance computing models, collaborating across teams to address paradigm shifts in modern recommender systems.
Qualifications include a 5+ year track record in big data solutions, hands-on experience with Flink, Spark, and related components,