Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start
Core
Build AI algorithms for e-commerce governance, risk control, and content quality optimization.
Role type
Machine Learning Engineer (E-commerce Governance)
Builds
Risk detection systems, merchant/creator audit tools, content deduplication/clustering models, and large model fine-tuning for e-commerce.
Domain
E-commerce, Risk Control, AI/ML
Deliverable
production ML models
Required skills
Python, Go, C++, Machine Learning, Deep Learning, Data Structures, Algorithms, NLP, Computer Vision, LLM Fine-tuning, Reinforcement Learning
Preferred skills
Platform governance experience, Overseas internet/e-commerce business experience
Responsibilities
Identify algorithms for risk/violation/low-quality issues in e-commerce scenarios; Mine and identify algorithms to detect fraudulent behaviors and risky merchants/creators; Optimize algorithms for large-scale brand libraries, products, and content deduplication/clustering; Perform data construction, instruction fine-tuning, CoT, and alignment for large models in e-commerce; Explore reinforcement learning and operational research algorithms for intelligent dispatching and audit scheduling.
