Staff/Principal Machine Learning Engineer (Modeling), Credit

Added
less than a minute ago
Type
Full time
Salary
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Related skills

sql python pandas pytorch scikit-learn

πŸ“‹ Description

  • Build, evaluate, and maintain underwriting models for Cash App Borrow and Afterpay.
  • Design and evolve credit decision frameworks, with modeling, automation, and policy logic.
  • Design and run experiments to evaluate model performance and inform credit policy decisions.
  • Develop understanding of borrower behavior, repayment dynamics, and portfolio structure.
  • Build agentic engineering workflows that accelerate development and testing.
  • Collaborate with product, eng, legal, compliance, and ops to align credit systems with goals and regs.

🎯 Requirements

  • Bachelor's degree in a quantitative field; advanced degrees welcome.
  • 10+ years applying AI/ML in decisioning contexts (credit, risk, fraud, recommendations).
  • Experience with probabilistic models, calibration, score transformations, interpretation.
  • Strong experimentation skills: holdouts, lift, evaluation beyond aggregates.
  • Model monitoring, degradation detection, retraining in production.
  • Technologies: Python stack; MLflow; SQL; GitHub; GCP/AWS.

🎁 Benefits

  • Remote work options for eligible US/Canada candidates.
  • Medical insurance and health benefits.
  • Flexible time off and work-life balance.
  • Retirement savings plans (401k/ equivalents).
  • Family planning resources and support.
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