Machine Learning Engineer, Fraud Intelligence

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

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.

What you’ll do

Responsibilities

• 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

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

• 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