Machine Learning Engineer, Radar

At Stripe, a Most Loved Workplace® certified employer in the Financial Services space, Economic infrastructure for the internet, powering ambitious businesses globally..

<h2><span style="color: rgb(0, 0, 0);">Who we are</span></h2>

<h3><span style="color: rgb(0, 0, 0);">About Stripe</span></h3>

<p><span style="font-weight: 400; color: rgb(0, 0, 0);">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.</span></p>

<h3><span style="color: rgb(0, 0, 0);">About the team</span></h3>

<p><span style="color: rgb(0, 0, 0);">The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. </span></p>

<p><span style="color: rgb(0, 0, 0);">The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products to protect against AI token theft, free trial abuse, and scripted attacks.</span></p>

<h2><span style="color: rgb(0, 0, 0);">What you’ll do</span></h2>

<p><span style="color: rgb(0, 0, 0);">In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will ha

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