机器学习/检测算法高级工程师/专家 - 安全与风控
Core
Design behavior, temporal, and resource risk features; train classification, anomaly detection, and sequence prediction models to optimize security detection performance.
Role type
Senior IC machine-learning engineer (anomaly detection & risk modeling)
Builds
Production security detection models and alert explanations for global office environments
Domain
Cybersecurity / Risk Management
Deliverable
production ML models
Required skills
Python, SQL, anomaly detection, sequence modeling, classification, clustering, statistical analysis, handling high-dimensional/sparse/heterogeneous data
Preferred skills
experience in security, anti-fraud, anti-cheat, risk control, or trust & safety, converting experimental code to maintainable engineering code
Technologies
Python, SQL
Responsibilities
Analyze employee behavior, device, permission, and resource access data to design risk features; Train and optimize ML models for classification, anomaly detection, and sequence prediction; Provide explainable risk reasons and evidence for alerts; Collaborate with engineering teams on model deployment and monitoring.
