Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2027 Start
Core
Build risk detection models and graph learning platforms to identify low-quality merchants, products, and creators, and optimize the e-commerce ecosystem.
Role type
Machine Learning Engineer (Graph Learning & Risk Control)
Builds
Large-scale graph storage/learning platforms, risk prediction models, and multimodal representation systems for e-commerce.
Domain
E-commerce, Risk Control, Graph Learning
Deliverable
production ML models
Required skills
Deep learning, Graph Neural Networks, Sequence learning, Algorithm implementation, AI-Agent development, Theoretical ML foundation
Preferred skills
Data mining, Search recommendation, Content understanding, Governance risk control, Big data tools (Hive, Spark, Hadoop)
Technologies
PyTorch, TensorFlow, DGL, pyg, sklearn, numpy, pandas
Responsibilities
Mine and predict risks in merchants/products/creators; Build data models for product experience and ecosystem efficiency; Develop large-scale network/feature sequence models for content and video management; Build graph storage and learning platforms; Research and implement cutting-edge ML/graph/sequence learning technologies.
Seniority
Graduate (Entry-level)
