Machine Learning Engineer Intern (Global E-Commerce, Platform Governance) - 2027 Start (PhD)
Tasks
- Build data models to support e commerce ecosystem governance
- Build graph storage and graph learning platform for community relationship governance
- Build network feature sequence models for content understanding and multimodal representation
- Develop scalable optimized machine learning models for production
- Identify events behaviors affecting product experience and efficiency
- Mine predict risks and low quality entities in e commerce
- Research and implement machine learning graph learning and sequence learning technologies
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Apache Hadoop | Apache Hive | Apache Spark | Community mining | DGL | Deep learning | Graph Learning | Graph Modeling | Graph Neural Networks | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Neural Networks | Node Classification | NumPy | Pandas | PyTorch | Representation Learning | Scikit-learn | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Sequence Learning | Subgraph Classification | Supervised Learning | TensorFlow
Education
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