Software Engineer - Recommendation Infrastructure, TikTok Video - Professionally Generated Content

About The Team

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.

Minimum Qualifications

• 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.