Machine Learning Graduate (E-Commerce Governance)-2026 Start (BS/MS)
Seattle, Washington, United States
USD 124K-243K Entry-level Full Time
Tasks
- Apply causal inference for growth analysis
- Build graph-powered risk networks
- Build multitask models with MMoE
- Build unified time-series forecasting models
- Construct heterogeneous graphs for relationship modeling
- Deploy AI powered business suggestions
- Detect false advertising and low quality products
- Develop multimodal LLM systems
- 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
Skills/Tech-stack
Causal Inference | Cross-modal fusion | Data Modeling | Delivery Prediction | Fraud Detection | Graph Neural Networks | Heterogeneous Graphs | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Mixture of Experts | Multi-Objective Optimization | Multimodal Learning | Multitask Learning | Natural Language | Natural Language Processing | Neural Networks | Objective optimization | Optimization | Series forecasting | Tabular Data | Tabular Data Modeling | Time Series | Time Series Forecasting
Education
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