算法实习生（J106373）
Core
Build intelligent analysis and risk detection models for large model inference services to identify anomalies like intelligence degradation, impersonation, and fraud in token suppliers.
Role type
Research intern (AI/ML)
Builds
Anomaly detection, risk modeling, and evaluation frameworks for large model inference services
Domain
Artificial Intelligence / Large Language Models / Risk Management
Deliverable
research
Required skills
Machine learning, Deep learning, Statistical analysis, Anomaly detection, Time series analysis, Risk modeling, Large model core technologies, LLM-as-a-Judge, Python, PyTorch
Preferred skills
Publications in NeurIPS, ICML, ICLR, ACL, KDD, AAAI, Experience in model evaluation, anti-fraud, and model behavior analysis
Technologies
Python, PyTorch
Responsibilities
Analyze multi-source information to identify abnormal behaviors in token suppliers, build dynamic credit rating models, construct intelligent evaluation metrics, and write research papers.
