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