Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Risk Control) - 2026 Start (PhD)
Core
Build scalable, real-time ML systems to detect and prevent fraud and risky user behavior in TikTok's e-commerce ecosystem.
Role type
PhD-level Machine Learning Engineer (Risk Control)
Builds
Real-time risk prevention platforms and data pipelines for e-commerce security
Domain
E-commerce, Fraud Detection, Risk Control
Deliverable
production ML models
Required skills
PhD in CS/SE/CE, advanced coding skills, machine learning model development, data pipeline construction, statistical analysis of user behavior, model testing and evaluation
Preferred skills
scikit-learn, TensorFlow, PyTorch, critical thinking, data-driven decision making
Technologies
TensorFlow, PyTorch, scikit-learn
Responsibilities
Develop ML solutions for fraud identification, analyze massive data to uncover risky patterns, build scalable data pipelines, test solution effectiveness, collaborate cross-functionally to mitigate risks, deploy and monitor models on software platforms
Seniority
PhD Graduate, Research & Development
