TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. 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. 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 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 for a maximum of TWO positions and will be considered for jobs in the order you applied for. 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 - What You'll Do • 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 (or expected by 2026) in Computer Science or related fields. • 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; • Experience in one of the following areas is preferred: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Read Full Description