Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2027 Start (PhD)
Tasks
- Build data models for product experience and efficiency
- Build large scale graph storage and graph learning platform
- Develop network feature sequence models for content and community understanding
- Mine risks and predict violations in e commerce
- Research and implement machine learning and graph learning technologies
- Support scalable optimized machine learning model production
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Workflow Design | Agent collaboration | Agent workflow | Apache Hadoop | Apache Hive | Apache Spark | Application development | Community mining | DGL | Deep learning | Function Calling | Graph Learning | Graph Neural Networks | LLM Application Development | LLM application | Machine Learning | Multi-Agent | Multi-agent collaboration | 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 | Tool/function calling | Workflow design
Education
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