机器学习算法工程师-TikTok业务风控
Core
Develop risk control algorithms and systems to protect TikTok users from fraud, fake accounts, and spam across content, commerce, and creator ecosystems.
Role type
Senior Machine Learning Engineer (Risk Control)
Builds
End-to-end risk control systems and intelligent algorithms for fraud detection and prevention.
Domain
Social Media / Anti-Fraud / Machine Learning
Deliverable
production ML models
Required skills
Deep learning, Time-series learning, Graph learning, Semi-supervised/Unsupervised learning, Transfer learning, Data mining, Algorithm design, System design, Linux, Big data processing (Hadoop/Hive/Spark/Storm)
Preferred skills
Experience in search ranking, recommendation, advertising, or financial risk control
Technologies
Linux, Hadoop, Hive, Spark, Storm
Responsibilities
Develop risk control technologies using rules, algorithms, and models to combat fraud and spam; Own risk metrics and reduction strategies for specific product domains; Build modular, scalable risk prevention systems to lower costs against new threats.
