Machine Learning Engineer, Fraud Intelligence

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. 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.

According to JobzMall, the average salary range for a Machine Learning Engineer, Fraud Intelligence is between $90,000 and $120,000 a year. This range may vary depending on the company, location, experience, and other factors.

Stripe is a technology company based in San Francisco, California. Stripe's internet commerce platform provides tools for marketplaces, subscription services, e-commerce businesses and crowdfunding platforms. Millions of online businesses — including Pinterest, Warby Parker, Kickstarter, Instacart and Squarespace — use the platform to manage payments and structure online billing processes.