Senior Machine Learning Engineer (Fraud ML)

📋 Description

• Lead development of fraud prediction models using tabular, graph, and behavioral data
• Build and scale feature pipelines and training datasets with proprietary/third-party signals
• Prototype models; run offline experiments; productionize with risk controls
• Productionize models in batch or real-time decision systems; improve latency and reliability
• Instrument and monitor model and data health; define retraining/backtesting workflows
• Identify foundational improvements to how the team builds models
• Collaborate across Engineering, Fraud Analytics, Product, and ML Platform; communicate results

🎯 Requirements

• 6+ years building ML models at scale; PhD counts up to 2 years
• Track record delivering high-impact ML in low-latency live settings
• Strong Python skills and production-quality code
• Experience with tabular classification models (LightGBM/XGBoost/CatBoost)
• Experience with PyTorch
• Distributed data processing (Spark) and ML tooling (Kubeflow/Airflow/MLflow)

🎁 Benefits

• Health care coverage; Affirm covers premiums for you and dependents
• Flexible Spending Wallets with tech, food, and lifestyle
• Time off with vacation/holiday schedules to rest and recharge
• ESPP - employee stock purchase plan at a discount