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