About the job
Our team designs and scales the mission-critical architecture powering professional content (PGC) recommendations. We bridge the gap between complex ML models and high-performance systems, focusing on low-latency serving and massive-scale data pipelines. By joining us, you’ll build the infrastructure backbone that connects premium creators with millions of users in real-time.
Responsibilities
Build and maintain high performance online services for TikTok 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.
Qualifications
Minimum
Bachelor's degree or above, majoring in Computer Science, or related fields
At least 2 years of experience building scalable system
Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
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.
Preferred
No preferred qualifications listed.