Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance
Core
Develop and optimize AI algorithms for risk control, content governance, and ecosystem improvement in e-commerce scenarios including products, videos, and live streaming.
Role type
Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM)
Builds
Risk detection models, content understanding systems, graph learning platforms, and large-scale multimodal algorithms for e-commerce governance.
Domain
E-commerce, Risk Control, Content Moderation
Deliverable
production ML models
Required skills
Python, Go, C++, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Multimodal Learning, Graph Algorithms, LLM fine-tuning, Reinforcement Learning
Preferred skills
Platform governance experience, Overseas internet/e-commerce experience, English fluency, International work experience
Technologies
Linux, Python, Go, C++, Graph Storage, Graph Learning
Responsibilities
Identify algorithms for risk/violation/low-quality issues in e-commerce scenarios; Mine and identify algorithms to detect fraudulent behaviors and risky merchants; Optimize algorithms for content deduplication and clustering; Conduct data construction and instruction fine-tuning for large models; Explore reinforcement learning for intelligent dispatching and audit scheduling; Optimize computer vision models for product image classification and recognition; Optimize video classification and multimodal content understanding; Optimize risk identification models for text content; Research large-scale multimodal algorithms; Extract data and model large-scale networks for community mining; Participate in building a graph storage and learning platform.
Seniority
Senior, hands-on IC
