Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start
Core
Build AI algorithms to combat risks, violations, and low-quality content in e-commerce scenarios including products, shopping cart videos, and live streaming.
Role type
Machine Learning Engineer (E-commerce Governance)
Builds
Risk detection systems, merchant/creator identification tools, content deduplication/clustering solutions, and large model optimization for e-commerce.
Domain
E-commerce, Risk Control, Content Moderation
Deliverable
production ML models
Required skills
Python, Go, C++, Machine Learning, Deep Learning, Data Structures, Algorithms, Natural Language Processing, Computer Vision, Multimodal Learning, Graph Algorithms, Search Algorithms, Text/Data Mining, LLMs, Reinforcement Learning, Operational Research
Preferred skills
Platform governance/audit/risk control 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.
