Senior Manager, Machine Learning Engineering

📋 Description

• Lead development of fraud prediction models for real-time decisions.
• Build and scale feature pipelines and training datasets with data/platform teams.
• Prototype modeling ideas; run offline experiments; productionize with risk controls.
• Productionize models in batch/real-time decision systems; improve reliability and latency.
• Instrument and monitor model/data health; define retraining/backtesting workflows.
• Collaborate across Eng, Fraud Analytics, Product, and ML Platform; communicate results.

🎯 Requirements

• 6+ years experience training, tuning, and deploying ML models at scale.
• Track record delivering high-impact ML models in low-latency live settings.
• Strong Python skills and production-grade code.
• Experience with tabular classification models (LightGBM/XGBoost/CatBoost).
• Experience with PyTorch for deep learning.
• Experience with distributed processing (Spark/Ray) and ML tooling (Kubeflow, Airflow, MLflow).

🎁 Benefits

• Health care coverage for you and dependents.
• Flexible Spending Wallets for tech, food, and lifestyle.
• Time off - vacation and holidays.
• ESPP - Employee stock purchase plan.