Machine Learning Engineer II (Underwriting ML)

📋 Description Build and improve ML systems for real-time checkout decisions Develop underwriting models for risk and value Scale feature pipelines from signals with data/platform teams Prototype ideas and push best models to production Monitor model/data health and retraining workflows 🎯 Requirements 2+ years ML engineer experience or PhD Strong Python and production-grade coding Experience with classification models (LightGBM/XGBoost/CatBoost) Deep learning with PyTorch Distributed data processing (Spark) or similar ML lifecycle tools (Kubeflow, Airflow, MLflow) 🎁 Benefits Equity, Focused health coverage for you and dependents Flexible Spending Wallets for tech and lifestyle needs Generous time off and holidays ESPP - employee stock purchase plan