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
Please mention that you found the job at Jobhunt.ai
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