Lead Machine Learning Engineer - User Growth - Recommendation - Singapore
TikTok.com
Office
Singapore, Singapore
Full Time
About the Team
The TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok. Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.
In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users. We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.
Responsibility
- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.
- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.
- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.
- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.
The TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok. Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.
In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users. We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.
Responsibility
- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.
- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.
- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.
- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.
Lead Machine Learning Engineer - User Growth - Recommendation - Singapore
Office
Singapore, Singapore
Full Time
September 25, 2025