Stripe is a financial services platform that helps all types of businesses accept payments, build flexible billing models, and manage money movement. Backed by General Catalyst, Khosla and Kleiner Perkins.
About the role
You will lead the machine learning strategy for abuse prevention across the full customer lifecycle. Abuse doesn't stop at the payment. Bad actors create fake and duplicate accounts, take over legitimate ones, farm free trials and promotions, resell access they obtained below cost, use services they never intend to pay for, and file bad-faith refunds and disputes. For AI companies, every abusive account burns real compute, and the same actors keep moving from one account, product, and access path to the next. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ years of experience developing, evaluating, and deploying machine learning models in a production environment
- A track record of technically leading large, ambiguous ML initiatives from problem definition to production, with measurable business impact
- Deep expertise in machine learning, statistics, model evaluation, and experiment design, including where labels are noisy, delayed, or scarce
- Strong software-engineering skills, and you remain a hands-on contributor who regularly writes tested, maintainable production code
- Experience designing and operating production ML systems at scale, including data and feature pipelines, real-time inference, deployment, and monitoring, and making architecture tradeoffs across them
- Experience setting technical direction across multiple engineers or teams, and mentoring engineers to grow their scope
More about this role
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.
The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce - helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe.
The team is growing, and expanding into multiple new areas. We are building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for 50+ global payment methods.
You will lead the machine learning...
Browse similar: AI jobs · AI startup jobs · Startup jobs