Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2027 Start
San Jose, California, United States
USD 137K-237K (estimate) Entry-level Full Time
Tasks
- Apply time series forecasting for demand and manpower
- Build logistics knowledge graphs and spatio temporal trajectory models
- Develop deep learning models for supply chain and logistics
- Implement NLP and LLM solutions for address verification and suggestion
- Optimize e commerce merchant and creator growth algorithms
- Predict end to end ETA and logistics events
- Predict product traffic and conversion performance and improve pricing strategy
- Use reinforcement learning and retrieval systems for logistics agents
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Clustering | Data Mining | Deep learning | E-commerce | Java | Knowledge graphs | LLM | Language Processing | Logistics | Machine Learning | NLP | Natural Language | Natural Language Processing | Operations Research | PyTorch | Python | Regression | Reinforcement Learning | Retrieval systems | Series forecasting | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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