User Growth Algorithm Engineer (Local Services) - TikTok Data

About TikTok

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.

Responsibilities

• 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.

Requirements

• Master’s degree or above in Computer Science, Statistics, Mathematics, Operations Research, or related fields.
• Solid understanding of machine learning and deep learning fundamentals, with proficiency in mainstream frameworks such as TensorFlow or PyTorch.
• Strong programming skills and solid foundations in data structures and algorithms; proficient in at least one of Python, C++, or Java.
• Excellent problem decomposition and problem-solving skills, with strong cross-functional communication abilities and the capability to translate algorithmic solutions into business impact.

Preferred

• Experience in areas such as causal inference, uplift modeling, reinforcement learning, or operations research optimization is preferred.