Machine Learning Engineer, Credit Risk

Stripe's mission is to build the economic infrastructure for the internet. Credit Detection brings together machine learning with product development to lower Stripe's credit risk at scale, while retaining a best in class user experience. Achieving this goal is critical to Stripe's long term growth and profitability. We protect Stripe's brand while also protecting the company from credit losses that can put our financial position at risk. The Credit Detection team consists of machine learning engineers who want to tackle this problem through creative new product ideas and impactful machine learning models. We work closely with our credit partners in product, business, data science, and operations to prioritize and drive our shared strategy. We are continuously exploring and undertaking new ideas and as an Engineering Manager you can have an outsized impact on the future of how Stripe manages risk at scale. As a machine learning engineer, you will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe's ML powered systems, features, and products. You will also have the opportunity to contribute to and influence ML architecture at Stripe and be a part of a larger ML community.

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.