Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2026 Start (PhD)
Seattle, Washington, United States
USD 129K-246K Entry-level Full Time
Tasks
- Build logistics network knowledge graphs and predict package spatio temporal trajectories
- Detect factors and model relationships between future and history
- Develop deep learning and operations research models for supply chain and logistics
- Develop e commerce merchant creator growth algorithms
- Handle address verification and address suggestion using NLP and LLM algorithms
- Improve pricing and subsidy strategies using data mining and machine learning
- Mine potential merchants creators and design tiering and outreach algorithms
- Optimize traffic distribution and product operation strategies
- Perform time series forecasting for sales inventory and manpower
- Predict ETA and logistics events using deep learning
Perks/Benefits
- N/A
Skills/Tech-stack
Commerce analytics | Data Mining | Deep learning | E-commerce | E-commerce analytics | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | NLP | Natural Language | Natural Language Processing | Operations Research | Series forecasting | Spatio-temporal modeling | Statistical inference | Temporal modeling | Time Series | Time Series Forecasting
Education
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