Machine Learning Engineer Intern (TikTok Shop Global E-Commerce, Risk Control) - 2026 Start (PhD)
Core
Develop machine learning solutions to identify and prevent fraudulent activities, analyze user behavior data to uncover risky patterns, and build scalable real-time risk prevention pipelines for TikTok's e-commerce ecosystem.
Role type
PhD Research Intern (Machine Learning)
Builds
Scalable, real-time risk prevention systems and data pipelines
Domain
E-commerce, Risk Control, Fraud Detection
Deliverable
production ML models
Required skills
Machine learning, data analysis, software development, programming languages
Preferred skills
scikit-learn, TensorFlow, PyTorch, critical thinking, data-driven communication
Technologies
scikit-learn, TensorFlow, PyTorch
Responsibilities
Develop ML solutions for fraud prevention, analyze business and security data to mine abnormal user behavior, build data pipelines for real-time risk prevention, test solution effectiveness, collaborate cross-functionally to mitigate risks, develop/deploy/monitor models on software platforms
Seniority
PhD Intern
