Staff Machine Learning Engineer, Financial Connections

Stripe
New York
Full timeFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Collaboration","Autonomy","Entrepreneurial mindset"]

Build and own production machine learning models for Financial Connections, Stripe’s open banking platform. Design, train, evaluate, and deploy ML systems that improve transaction categorization, risk scoring, and financial data enrichment at scale. Work with large-scale datasets, create offline/online training and evaluation pipelines, integrate models into production for reliability, and partner across product, data science, and engineering—while mentoring and strengthening ML engineering culture.

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FursaFursa
Stripe
Stripe
2 days ago

Staff Machine Learning Engineer, Financial Connections

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Source: Company careers pageValidated by: Fursa AI
Last checked: 36 minutes agoStatus: Live

Job Summary

Build and own production machine learning models for Financial Connections, Stripe’s open banking platform. Design, train, evaluate, and deploy ML systems that improve transaction categorization, risk scoring, and financial data enrichment at scale. Work with large-scale datasets, create offline/online training and evaluation pipelines, integrate models into production for reliability, and partner across product, data science, and engineering—while mentoring and strengthening ML engineering culture.
Location: New York
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, train, evaluate, deploy, and own ML models in production for transaction categorization, risk scoring, and data enrichment.
  • •Design and build large-scale ML systems operating on diverse financial data from thousands of institutions.
  • •Experiment and iterate on ML models to improve data quality and accuracy outcomes.
  • •Develop pipelines and automated processes to train and evaluate models in offline and online environments.
  • •Integrate ML models into production systems and collaborate with product, data science, and engineering partners to find ML opportunities.

Key Requirements

  • •10+ years of industry experience building and shipping ML systems in production.
  • •Proficiency with ML frameworks such as PyTorch, TensorFlow, XGBoost, and Spark.
  • •Hands-on experience designing, training, and evaluating machine learning models.
  • •Hands-on experience productionizing and deploying models at scale.
  • •Hands-on experience orchestrating data pipelines and leveraging large-scale datasets.
Experience:10+ yearsFintechOpen bankingFinancial data
Skills:CollaborationAutonomyEntrepreneurial mindset
Languages:English
Tech Stack:PyTorchTensorFlowXGBoostSparkNLPLLMsText classificationTransformers

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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