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 Risk Detection Team applies machine learning to a variety of areas with the aim to drive up profitability while reducing the financial or reputational risk associated with enabling each user on Stripe, while retaining a best in class user experience. Achieving this goal is critical to Stripe’s long term growth. We are continuously exploring and undertaking new ideas and as a Staff ML Engineer you can have an outsized impact on the future of how Stripe manages risk at scale.
We are exploring new areas and kicking off projects where you can have an outsized impact on the architecture, implementation, and design choices behind these machine learning models and systems. As a Staff ML Engineer you will be collaborating with other engineers on your team and across Stripe, as well as key partners in the product and risk organization, data science, and operations.
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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