Stripe is hiring a

Staff Machine Learning Engineer, Fraud Intelligence

Flaxton, United States

Stripe builds the economic infrastructure for the internet. Building trust between banks, businesses & customers is a key ingredient for Stripe to be successful. Unfortunately, fraudsters & bad actors erode that trust.


The Fraud Intelligence team builds backend and machine learning (ML) systems to reduce fraud while retaining a best-in-class user experience. Our work directly impacts Stripe's bottom line, and we help build a safer financial backbone for the internet. 


Here are some of the problems you will be tackling:

  • How do we featurize all user interactions on Stripe and train models on high-dimensional input?
  • How do we design models to handle both tabular & unstructured data?
  • How do we train models to learn quickly from fresh incremental data (few-shot learning)?
  • What unsupervised systems can we build to detect anomalous behavior?


You will have an outsized impact on the direction, design & implementation of the solutions to these problems.


Your work will include:

  • Setting the technical & process direction for the team based on business goals
  • Designing, training, improving & launching models 
  • Proposing and implementing ideas that directly reduce Stripe’s fraud losses
  • Building systems that evaluate businesses for risk and take appropriate actions
  • Leading partner teams to launch new policies that directly impact Stripe’s bottom line
  • Helping engineers across the company to develop technologies for scaling our infrastructure
  • Debugging production issues across services and multiple levels of the stack


You may be a good fit if you:

  • Have at least 7 years of experience in training ML models
  • Enjoy and have experience shipping ML models in a large-scale production environment
  • Have led multiple engineers to deliver large-scale high-impact projects
  • Hold yourself and others to a high bar when working with production systems
  • Take pride in taking ownership and driving projects to business impact
  • Thrive in a collaborative environment
  • [Bonus] Have experience in Python, Scala (Spark), or Ruby

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