Machine Learning Graduate (E-Commerce Governance) - 2026 Start (PhD)
Seattle, Washington, United States
USD 148K-300K Entry-level Full Time
Tasks
- Apply causal inference for recommendation
- Build graph-powered risk networks
- Build heterogeneous graph models
- Construct unified time series forecasting models
- Develop LLM based multimodal systems
- Develop multitask models with dynamic loss
- Develop time-series forecasting models
- Improve tabular data modeling for explainability
- Optimize LLM reasoning with DPO
- Optimize LLM reasoning with GRPO
- Optimize warehouse product quality qualification strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Cross-modal fusion | DPO | Data Modeling | Deep reinforcement learning | Forecasting | GRPO | Graph Neural Networks | Heterogeneous Graphs | Language Models | Large Language Models | Mixture of Experts | Multi-Objective Optimization | Multimodal Learning | Multitask Learning | Neural Networks | Objective optimization | Optimization | Reinforcement Learning | Series prediction | Tabular Data | Tabular Data Modeling | Time Series | Time Series Prediction
Education
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