Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2027 Start
Seattle, Washington, United States
USD 137K-237K (estimate) Entry-level Full Time
Tasks
- Apply NLP and LLM for address verification and suggestion
- Build growth algorithms for merchants and creators
- Build logistics network knowledge graphs
- Develop deep learning and operations research models
- Forecast sales using time series models
- Implement agent and workflow automation
- Improve traffic distribution efficiency
- Optimize product operation strategy and pricing subsidy strategies
- Predict ETA and logistics events
- Predict spatio temporal package trajectories
- Train and post train LLMs
- Use data mining to predict product performance
Perks/Benefits
- N/A
Skills/Tech-stack
Agent evaluation | Classification | Clustering | Data Mining | Deep learning | Java | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | NLP | Natural Language | Natural Language Processing | PyTorch | Python | Regression | Reinforcement Learning | Retrieval systems | Series analysis | Series forecasting | Spatio-temporal modeling | Statistics | Temporal modeling | TensorFlow | Time Series | Time Series Analysis | Time Series Forecasting | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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