Machine Learning Engineer Intern (E-commerce-Supply Chain & Logistics) - 2026 Start (PhD)
San Jose, California, United States
USD 137K-243K (estimate) Entry-level Internship
Tasks
- Build logistics network knowledge graphs
- Build operations research models for logistics intelligence
- Create merchant and creator tiering and outreach algorithms
- Develop deep learning models for supply chain logistics
- Develop growth algorithms for e-commerce merchants and creators
- Develop product performance prediction for traffic and conversion
- Forecast warehouse manpower and inventory demand
- Improve product operation efficiency and pricing strategy
- Mine potential merchants and creators
- Optimize traffic distribution for growth and cost reduction
- Perform time series forecasting for sales and demand
- Predict estimated time of arrival using e-commerce data
- Predict logistics events such as failed delivery
- Predict spatio temporal package trajectories
- Use NLP and LLM for address verification and suggestion
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Data Mining | Deep learning | Knowledge graphs | Language Models | Language Processing | Large Language Models | Logistics analytics | Machine Learning | Natural Language | Natural Language Processing | Operations Research | Prediction modeling | Sequence Modeling | Series forecasting | Spatio-temporal modeling | Statistical inference | Temporal modeling | Time Series | Time Series Forecasting
Education
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