Machine Learning Engineer Intern (Global E-Commerce, Risk Control) - 2027 Start (PhD)
Core
Develop domain-specific machine learning, LLMs, and agents to decode and prevent intricate, cross-domain fraudulent activities in global e-commerce.
Role type
PhD intern, machine learning engineer (fraud risk control)
Builds
Real-time AI agent pipelines for fraud prevention under massive global traffic
Domain
E-commerce, risk control, fraud detection
Deliverable
production ML models
Required skills
deep learning, operations research, Python programming
Preferred skills
LLMs, agentic systems, PyTorch, Scikit-learn, LangChain, Hugging Face Transformers
Responsibilities
Analyze massive business and security data to mine abnormal user behavior; Productionize AI agent pipelines; Analyze and test solution effectiveness; Collaborate with cross-functional teams to mitigate business risks; Develop/deploy/monitor models on software platforms
Seniority
Intern, PhD level
