Machine Learning Engineer II (Underwriting ML)

📋 Description Develop and iterate on underwriting prediction models for real-time decisions Build and scale feature pipelines and training datasets from proprietary and third-party signals Prototype new modeling ideas, run offline experiments, and productionize best approaches with risk Integrate models into batch or real-time decision systems, improving reliability and latency Instrument and monitor model/data health; define retraining/backtesting workflows Collaborate with Engineering, Risk Analytics, Product, and ML Platform to communicate results 🎯 Requirements 2+ years ML engineering experience or PhD in a related field Strong Python and production-quality code experience Experience with classification models (LightGBM/XGBoost/CatBoost or similar) Experience with a deep learning framework (PyTorch preferred) Experience with distributed data processing (Spark preferred; Ray/Dask or similar) ML lifecycle tooling for training orchestration, experimentation, and monitoring (Kubeflow 🎁 Benefits Health care coverage for you and dependents Flexible Spending Wallets for technology, food, lifestyle, etc. Generous vacation/holiday schedules ESPP – employee stock purchase plan