Machine Learning Engineer II (Fraud)

???? Description

• On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion.
• You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve.

???? Requirements

• 2+ years of experience as a machine learning engineer or a PhD in a relevant field
• Strong Python skills and production-quality code
• Experience with tabular classification models (LightGBM/XGBoost/CatBoost)
• PyTorch experience
• Spark experience (distributed data processing)
• ML lifecycle tooling (Kubeflow, Airflow, MLflow)

???? Benefits

• Health care coverage for you and dependents
• Flexible Spending Wallets for technology, food, lifestyle
• Generous vacation and holidays
• Employee stock purchase plan (ESPP) at a discount

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