知产治理算法工程师-国际电商
Core
Build machine learning and graph neural network models to identify, predict, and mitigate intellectual property risks, low-quality merchants, and streamers in international e-commerce scenarios.
Role type
Senior IC machine learning engineer (IP risk governance)
Builds
Production models for IP risk detection, merchant/streamer quality assessment, and e-commerce ecosystem experience optimization
Domain
International e-commerce, fraud risk, intellectual property governance
Deliverable
production ML models
Required skills
Deep learning, Graph Neural Networks, Behavior sequence modeling, Unsupervised anomaly detection, Self-supervised learning, Reinforcement learning, PyTorch, TensorFlow, DGL, PyG, scikit-learn, NumPy, Pandas, Hive, Spark, Hadoop
Preferred skills
Publications in KDD/ICML/NeurIPS/VLDB, Kaggle/Tianchi competition winners, International e-commerce or risk control experience, IPR governance or fraud detection expertise
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 for multi-entity relationships (live streaming, products, merchants, streamers); Explore frontier technologies like self-supervised learning and RL for business implementation
Seniority
Senior, hands-on IC
