Job Description

The TikTok-Data-Local Services International Local Life Algorithm Team is responsible for the algorithms of TikTok's global local life, including incentive growth, user growth recommendation, transaction scale recommendation, content understanding, AIGC content generation, generative recommendation and other directions. The optimized scenarios cover the TikTok recommendation page and the local page. Here you can cooperate with the top algorithm engineers in the industry, give full play to your advantages in deep learning, recommendation algorithms, large models and AIGC, and continuously change and improve the TikTok user experience, and transaction volume. The team members are located in Beijing, Shanghai, Singapore and the United States. They mainly come from top companies and well-known universities in the industry, and the team continues to introduce outstanding talents.

- Develop user growth algorithms for TikTok Local Services (e.g., dining, accommodation), focusing on core objectives such as user acquisition, activation, and GMV growth, and building systematic growth strategies and algorithmic frameworks.

- Apply methods including Causal Inference, Uplift Modeling, Reinforcement Learning, and Large Language Models (LLMs), integrating multi-source data to scientifically evaluate and optimize growth strategies and ROI.

- Gain deep insights into local services business characteristics and user behavior, identify algorithmic opportunities across scenarios such as dining and accommodation, and continuously improve business conversion efficiency.