Software Engineer - Recommendation Infrastructure, TikTok Video Social

• 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.

• 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.

The Recommendation Architecture - Social Team is responsible for building and optimizing the architecture of our recommendation system to provide the best social experience for our TikTok users.