Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2026 Start (PhD) []
Core
Build advanced AI models to detect risks, low-quality merchants/products/creators, and maintain platform security in e-commerce scenarios.
Role type
PhD-level Machine Learning Engineer (Graph/Sequence Learning)
Builds
Scalable production ML models, large-scale graph storage/learning platforms, and data models for ecosystem governance.
Domain
E-commerce platform governance and risk control
Deliverable
production ML models
Required skills
Deep learning, Graph Neural Networks (GNN), Sequence learning, Graph modeling, Node/subgraph classification, Community mining, Representation learning, Self-supervised/semi-supervised learning, PyTorch, TensorFlow, DGL, pyg, sklearn
Preferred skills
Published papers in top CS conferences (ACL, EMNLP, NIPS, AAAI), Experience with Hive, Spark, Hadoop, Numpy, Pandas
Technologies
PyTorch, TensorFlow, DGL, pyg, sklearn, Hive, Spark, Hadoop, Numpy, Pandas
Responsibilities
Mine and predict risks in e-commerce scenarios; Build data models for product experience and efficiency; Develop large-scale network/feature sequence models for content understanding and multimodal representation; Build graph storage and learning platforms; Research and implement cutting-edge ML/graph/sequence learning technologies.
Seniority
PhD, Research & Development
