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 own ML problems from conception to production: analyzing new fraud and abuse patterns, exploring large-scale datasets, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence across consumers, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections with frontier AI labs. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 2+ years of experience developing, evaluating, and deploying machine learning models in a production environment
- Strong foundations in machine learning, data analysis, statistics, model evaluation, and experiment design
- Strong programming and software-engineering skills, with experience writing tested, maintainable code for production ML applications
- Experience building or operating production ML systems, including one or more of large-scale data and feature pipelines, distributed model training, low-latency inference, model deployment, or production monitoring
- Ability to investigate ambiguous problems, reason from data, and choose pragmatic technical approaches
- Ability to communicate technical ideas and results clearly and collaborate effectively across disciplines
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 own ML problems from conception...
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