Machine Learning Engineer II (Underwriting ML)
Tasks
- Build feature pipelines and training datasets
- Collaborate to define requirements and evaluate tradeoffs
- Communicate results to technical and non-technical audiences
- Define retraining and backtesting workflows
- Develop underwriting prediction models
- Instrument and monitor model and data health
- Integrate models into batch and real time decision systems
- Prototype modeling ideas and run offline experiments
Perks/Benefits
- Dental coverage
- Employee stock purchase plan
- Flexible spending accounts
- Remote work
- Subsidized medical coverage
- Time off
- Vision coverage
Skills/Tech-stack
Airflow | Backtesting | CatBoost | Classification | Dask | Feature Engineering | Kubeflow | LightGBM | MLflow | Model Monitoring | PyTorch | Python | Ray | Spark | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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