About the team

Our 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.

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 Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year 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.

Preferred Qualifications

- 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.