Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2027 Start (PhD)
Core
Develop domain-specific machine learning, LLMs, and Agents to detect and prevent cross-domain fraudulent activities in the e-commerce ecosystem.
Role type
PhD-level Machine Learning Engineer (Fraud Risk Control)
Builds
Real-time AI agent pipelines and production ML models for fraud prevention
Domain
E-commerce / Risk Control / Security
Deliverable
production ML models
Required skills
PhD in CS/SE/CE, Python programming, Machine Learning, LLMs, Agentic systems
Preferred skills
PyTorch, Scikit-learn, LangChain, Hugging Face Transformers, Critical thinking
Technologies
PyTorch, Scikit-learn, LangChain, Hugging Face Transformers
Responsibilities
Analyze massive business and security data to mine abnormal user behavior; Productionize AI agent pipelines for real-time prevention; Analyze and test the effectiveness of built solutions; Collaborate with cross-functional teams to mitigate business risks; Develop, deploy, and monitor models on relevant software platforms
Seniority
PhD, Research-to-Production IC
