智能验证与AI安全算法工程师 - 风控
Core
Building a next-generation intelligent verification system for large-scale internet businesses to balance security risks, user experience, and efficiency, specifically targeting the detection of automated scripts and AI agents.
Role type
Senior IC machine-learning engineer (fraud prevention & AI security)
Builds
Intelligent verification systems (liveness, graphical, frictionless) and AI-driven detection pipelines for human vs. agent identification
Domain
Internet security, fraud prevention, computer vision, multimodal learning
Deliverable
production ML models
Required skills
Machine learning, deep learning, PyTorch, computer vision, multimodal learning, sequence modeling, anomaly detection, adversarial learning, generative models, fraud prevention, liveness detection, Deepfake/AIGC detection
Preferred skills
Agentic workflow research, AI-native algorithm production paradigms, data analysis, model deployment
Technologies
PyTorch, LLM, MLLM, Agentic AI, AIGC detection, multimodal learning, sequence modeling
Responsibilities
Design and build intelligent verification systems balancing security and user experience; Develop AI-based detection capabilities to distinguish real users from intelligent agents; Explore Agentic Workflow patterns to automate the full lifecycle from risk discovery to model iteration
