Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2026 Start (PhD)
San Jose, California, United States
USD 129K-246K (estimate) Entry-level Full Time
Tasks
- Build logistics knowledge graphs and predict package spatio temporal trajectories
- Build operations research models and intelligent systems
- Develop deep learning models for supply chain and logistics
- Develop e commerce merchant and creator growth algorithms
- Forecast warehouse manpower and inventory demand
- Improve traffic distribution and pricing and subsidy strategies
- Mine potential merchants and creators
- Optimize product performance using data mining and machine learning
- Perform time series forecasting for sales and demand
- Predict end to end ETA and logistics events using deep learning
- Use NLP and LLM algorithms for address verification and suggestion
Perks/Benefits
- N/A
Skills/Tech-stack
Data Mining | Deep learning | Graph Neural Networks | Knowledge graphs | LLM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Operations Research | Series forecasting | Spatio-temporal modeling | Statistical inference | Temporal modeling | Time Series | Time Series Forecasting
Education
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