Job Description

Team Introduction

Our TikTok Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join us for an internship in from Sept. 2025 onwards. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

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.

Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities

- Build and maintain high performance online services for TikTok Live 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.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and directs software testing and validation procedures.