Stripe

Staff Machine Learning Engineer, Financial Connections

Stripe πŸ“ New York, USA 🏒 On-site Posted Aug 25, 2026 via Stripe careers
full-time πŸ“‚ Data Science & Analytics 🏒 On-site 🏭 Finance & Banking

✨ Job Highlights

  • β˜…On-site: New York
  • β˜…Full-time role in data science & analytics
  • β˜…Experience asked for: 10+ years
  • β˜…Education: PhD or doctorate
  • β˜…Apply directly on Stripe's careers site
  • β˜…Posted August 25, 2026

Full Job Description

Staff Machine Learning Engineer, Financial Connections job at Stripe in New York

Stripe has an opening for a Staff Machine Learning Engineer, Financial Connections, based in New York. This is full-time work at Stripe's location. The employer does not list pay for this job, so raise it with the recruiter at the first call.

The description below comes from Stripe's own job posting.

Who we are

About the team

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.

What you'll do

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.

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
  • Who you are

    We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

    Minimum requirements

  • 10+ years of industry experience building and shipping ML systems in production
  • Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark
  • Hands-on experience in designing, training, and evaluating machine learning models
  • Hands-on experience in productionizing and deploying models at scale
  • Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets
  • Strong collaboration skills and the ability to work across teams and contribute to peers' success
  • Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset
  • Preferred qualifications

  • MS or PhD degree in ML/AI or a related field (e.g., math, physics, statistics, computer science)
  • Experience in fintech, open banking, or financial data domains
  • Experience with NLP, LLMs, or text classification at scale
  • Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data quality
  • Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems
  • Experience with deep learning architectures, including transformers
  • Questions about this job

    Does Stripe list a salary for this job?

    Stripe has not included pay in the posting.

    Can I work remotely in this job?

    No, it is an on-site job in New York.

    What does Stripe look for in candidates?

    The posting mentions at least 10 years of relevant experience, a phd or doctorate or equivalent and skills such as Spark, Machine Learning, Deep Learning and PyTorch. Read the full description above for the complete list.

    How do I apply for the Staff Machine Learning Engineer, Financial Connections job?

    Use the apply button on this page. It takes you to Stripe's own application form, so your CV goes directly to their hiring team.

    Is this job still open?

    Stripe published the role on August 25, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.

    Source: Stripe careers page (stripe.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.

    Required Skills

    Spark Machine Learning Deep Learning PyTorch TensorFlow LLMs NLP

    🏒 About Stripe

    Stripe publishes its open roles on its own careers board. This page collects the Stripe jobs that are live right now. Each listing links to Stripe's application form, and we remove a listing once the employer closes it.

    Industry: Finance & Banking

    View Company Profile β†’
    Negotiable

    Yearly salary

    Apply on Company Site β†—
    🏒 Company Stripe
    πŸ“ Location New York, USA
    πŸ’Ό Job Type full-time
    🌐 Work Mode 🏒 On-site
    🏭 Industry Finance & Banking
    πŸ—“ Posted Date Aug 25, 2026
    πŸ”— Via Stripe careers
    🎯 Experience 10+ years
    πŸŽ“ Education PhD or doctorate
    πŸ“… Deadline Dec 16, 2034

    About the Company

    Stripe publishes its open roles on its own careers board. This page collects the Stripe jobs that are live right…

    View Company β†’