Machine Learning Graduate (E-Commerce Governance)-2026 Start (PhD)
Seattle, Washington, United States
USD 148K-300K Entry-level Full Time
Tasks
- Apply causal inference for personalized recommendations
- Build graph risk networks
- Build unified time-series forecasting models
- Construct heterogeneous graphs for relationships
- Deploy AI product business suggestions
- Detect false advertising and low quality products
- Develop LLM multi modal systems
- Develop multi task models with MMoE
- Model tabular data for risk 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 | Data Modeling | Direct Preference Optimization | Graph Neural Networks | Group Relative Preference Optimization | Heterogeneous Graphs | Language Models | Large Language Models | Logistic Forecasting | Machine Learning | Mixture of Experts | Multi-Modal | Multi-Modal Learning | Multi-Objective Optimization | Multi-task Learning | Neural Networks | Objective optimization | Preference optimization | Reinforcement Learning | Series prediction | Tabular Data | Tabular Data Modeling | Time Series | Time Series Prediction
Education
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