AI Principal Architect
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Build, train, and deploy ML models that detect fraud across Stripe's payments network, researching emerging fraud patterns and developing solutions to address them. You'll optimize intensive deep learning models and ship new products from scratch. Requires 2+ years training and deploying ML models in production, proficiency in Python, SQL, Spark, and PyTorch, and strong knowledge of production ML systems and experiment design. Role is based in San Francisco, Dublin, or Singapore.
Written from this posting by Neural Jobs AI. The full description is below.
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 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.
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.
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 have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch.
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
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Stripe builds programmable financial infrastructure for internet businesses. Its APIs and products support payments, subscriptions, billing, marketplaces, payouts, tax calculation, fraud prevention, card issuing, financial accounts, and revenue operations. Startups and large enterprises use Stripe to launch and scale commerce across countries and payment methods without assembling separate financial systems for every market. The company invests heavily in developer tools, reliability, and infrastructure intended to make online economic activity easier to start and operate.
45 more Machine Learning Engineer roles in Seattle
185K – 238K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 33 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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