Machine Learning Engineer II (Underwriting ML)
Tasks
- Build feature pipelines
- Collaborate on requirements and tradeoffs
- Create training datasets
- Define retraining and backtesting workflows
- Develop underwriting prediction models
- Evaluate model performance and communicate results
- Improve reliability and latency
- Instrument model health
- Integrate models into decision systems
- Monitor data health
- Productionize models
- Prototype modeling ideas
- Run offline experiments
Perks/Benefits
- Dental and vision coverage
- ESPP
- Flexible spending wallets
- Health coverage
- Remote-first flexibility
- Time off
Skills/Tech-stack
Airflow | CatBoost | Dask | Kubeflow | LightGBM | MLflow | PyTorch | Python | Ray | Spark | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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