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Staff Machine Learning Engineer, Financial Connections
Stripe · New York, NY · Posted 41 days ago
Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants.
Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers.
We're looking for machine learning engineers who want to build intelligent systems that provide financial data at scale. You'll play a key role in designing, training, and deploying ML models that improve the quality, accuracy, and usefulness of financial data across Stripe's ecosystem.
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This posting is sourced from Stripe's own career site — applying takes you there directly.
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This role is one of 11 Machine Learning Engineer openings in New York, NY and centers on Machine Learning, Pytorch, Tensorflow, and Xgboost. There are 1,016 open roles at Stripe right now.
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