Machine Learning Graduate (E-Commerce Governance)-2026 Start (PhD)
San Jose, California, United States
USD 150K-316K Entry-level Full Time
Tasks
- Apply causal inference for personalized recommendations
- Build graph neural network risk networks
- Build unified time-series forecasting models
- Construct heterogeneous graphs for entity relationships
- Develop LLM based multimodal systems
- Develop multi task models with MMoE
- Model tabular data for explainability
- Optimize LLM reasoning with DPO
- Optimize LLM reasoning with GRPO
- Optimize warehouse product quality qualification strategies
- Perform time series forecasting for logistics metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Cross-modal fusion | DPO | Data Modeling | Deep learning | Dynamic Loss Functions | GRPO | Graph Neural Networks | Heterogeneous Graphs | Language Models | Large Language Models | Loss Functions | Machine Learning | Mixture of Experts | Multi-Objective Optimization | Multi-task Learning | Multimodal Learning | Neural Networks | Objective optimization | Predictive Analytics | Python | Series forecasting | Tabular Data | Tabular Data Modeling | Time Series | Time Series Forecasting
Education
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