Backend Engineer Graduate (TikTok ShortText Recommendation Infrastructure) - 2026 Start (BS/MS)

About the team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation systems to provide the most stable and best experience for our TikTok users. We cover almost all the 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.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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 systems. - Design and develop high performance computing frameworks and storage systems.