Machine Learning Engineer, Fraud Intelligence

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 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 behaviour?

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

Your work will include:

• 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
• Working with our 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 3 years of experience in training ML models
• Enjoy and have experience shipping ML models in a large-scale production environment
• 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