Jobs · Engineering

Staff Machine Learning Engineer, Financial Connections

Stripe · United States · 1 mo ago
RemoteRemoteEngineering$254k–$380k/yrFull-time

About the role

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.

Responsibilities

  • Design, build, train, evaluate, deploy, and own ML models in production that improve transaction categorization, risk scoring, and data enrichment across Financial Connections
  • Design and build large-scale ML systems that operate on diverse financial data from thousands of institutions
  • Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, XGBoost) to achieve key business goals around data quality and accuracy
  • Develop pipelines and automated processes to train and evaluate models in offline and online environments
  • Integrate ML models into production systems and ensure their scalability and reliability
  • Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers
  • Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions
  • Mentor engineers and contribute to a strong ML engineering culture within the team

Requirements

  • 10+ years of industry experience building and shipping ML

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