算法工程师-国际电商风控
Core
Design and optimize algorithms for international e-commerce risk control to protect users, creators, and merchants from fraud and security threats.
Role type
Senior IC machine-learning engineer (risk control)
Builds
Risk detection models and algorithms for e-commerce platforms
Domain
E-commerce, fraud detection, cybersecurity
Deliverable
production ML models
Required skills
Characteristic learning, graph models, deep learning, transfer learning, multi-task learning, large language models (LLMs), RAG, SFT, RL, ReAct, Reflection, C++, Java, Python, machine learning platforms
Preferred skills
E-commerce domain experience, anti-fraud strategy experience, black-market/grey-market countermeasure knowledge
Responsibilities
Design and optimize risk control algorithms, improve risk detection efficiency using advanced ML techniques, leverage LLMs to enhance risk identification accuracy and explainability, innovate algorithms tailored to content e-commerce business characteristics
