Machine Learning Engineer, Capital Underwriting

Stripe Treasury

US
On-site
5+ years industry experience building ml systems
Proficient with pytorch tensorflow xgboost spark
Hands-on experience designing training evaluating ml models
Stripe Capital provides fast flexible financing to small-and-medium businesses using machine learning to automatically underwrite tailored offers

Job Summary

  • Stripe Capital provides fast flexible financing to small-and-medium businesses using machine learning to automatically underwrite tailored offers.
  • The role involves designing state-of-the-art ML models and large-scale systems for underwriting while satisfying regulatory and engineering constraints.
  • Candidates must have extensive experience shipping ML systems in production and collaborating across Data Science and Risk Management teams.

Matching Summary

Stripe Capital provides fast flexible financing to small-and-medium businesses using machine learning to automatically underwrite tailored offers.

Skills & Requirements

Must-have

  • 5+ years industry experience building ML systems
  • Proficient with PyTorch TensorFlow XGBoost Spark
  • Hands-on experience designing training evaluating ML models
  • Experience productionizing deploying models at scale
  • Orchestrating complicated data pipelines large-scale datasets

Nice-to-have

  • MS/PhD degree in ML AI or related field
  • Experience in adversarial domains like Lending Trading Fraud
  • Knowledge of transformers test-time compute reinforcement learning
  • Passion for building ML systems touching millions of lives
  • Ability to work comfortably with ambiguity and take initiative

Key Requirements

  • 5+ years of industry experience
  • MS/PhD degree preferred
  • Experience with adversarial domains

Work Rights

Not specified

Tailored Resume

Cover Letter