反欺诈算法工程师（AI治理方向）-飞书
Core
Build an anti-fraud algorithm system for the AI Agent era, addressing risks from traditional account fraud to automated agent abuse.
Role type
Senior IC anti-fraud algorithm engineer (AI governance)
Builds
Scalable fraud identification models and automated risk decision loops for complex adversarial environments
Domain
Fintech / AI Security / Graph & Sequence Modeling
Deliverable
production ML models
Required skills
Machine learning & deep learning modeling, behavior modeling, risk identification, fraud detection, team/gang mining, sequence modeling, graph modeling, representation learning, Python, Spark, Flink, LLM application in risk control, AI Agent integration
Preferred skills
Core module ownership, strong adversarial scenario experience, graph mining/cluster identification, time-series modeling, LLM effect validation in risk control, AI Agent deployment (multi-turn decision/tool use)
Responsibilities
Design scalable behavior representation and relationship modeling systems; Integrate LLM/AI Agents into the fraud detection pipeline; Optimize recall, false positive rates, and revenue metrics; Build automated and self-learning risk identification loops
Seniority
Senior, hands-on IC
