知产治理算法工程师（账号&体验方向）-国际电商
Core
Build machine learning and graph-based models to identify and predict IP risks, low-quality merchants, and streamers in international e-commerce, while optimizing user experience through data modeling.
Role type
Senior IC machine-learning engineer (IP risk governance & experience optimization)
Builds
Production models for IP risk detection, merchant/streamer quality assessment, and e-commerce ecosystem experience optimization
Domain
International e-commerce, Intellectual Property Rights (IPR) governance
Deliverable
production ML models
Required skills
Deep learning, Graph neural networks, Behavior sequence modeling, Unsupervised anomaly detection, Self-supervised learning, Reinforcement learning, Large-scale network modeling, Multi-modal representation
Preferred skills
International e-commerce experience, Fraud detection, Account security governance, Academic publications (KDD, ICML, NeurIPS), Data mining competitions (Kaggle, Tianchi)
Technologies
PyTorch, TensorFlow, DGL, PyG, scikit-learn, NumPy, Pandas, Hive, Spark, Hadoop
Responsibilities
Develop algorithms to mine and predict IP risks and low-quality entities; Construct data models to analyze events affecting IP experience; Build multi-entity relationship models for large-scale networks; Research and implement frontier technologies like self-supervised learning and RL.
Seniority
Senior, hands-on IC
