Machine Learning Engineer Intern (Global E-Commerce, Platform Governance) - 2027 Start
Tasks
- Build data models for ecosystem improvement and business operations
- Build entity data for e commerce live streaming video products merchants and creators
- Build large scale graph storage and graph learning platform
- Build network and feature sequence models for content understanding community mining and representation learning
- Identify events and behaviors affecting product experience and efficiency
- Mine predict and identify e commerce risks and low quality merchants products and creators
- Research and implement machine learning graph learning and sequence learning technologies
- Support production of scalable optimized machine learning models
Perks/Benefits
Skills/Tech-stack
Agent Workflow Design | Agent systems | Agent workflow | Application development | Community mining | DGL | Data Mining | Deep learning | Graph Classification | Graph Learning | Graph Modeling | Graph Neural Networks | Hadoop | Hive | LLM Application Development | LLM application | Language Processing | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Neural Networks | Node Classification | NumPy | Pandas | PyTorch | Recommendation Systems | Representation Learning | Scikit-learn | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Sequence Learning | Signal modeling | Spark | Subgraph Classification | Supervised Learning | TensorFlow | Timing Signal Modeling | Tool-Calling | Workflow design
Education
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