Staff Machine Learning Engineer
The Payment Intelligence group optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar end-to-end: from developing machine learning models, to building performant and scalable systems and services, and creating user-facing products that enable our users to combat fraud and give them insights into how their business is performing. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business.
We’re looking for people with a strong quantitative background and passion for designing and building production machine learning models and systems that deliver impactful product values to our customers. You are comfortable working in a rapidly evolving environment and product landscape and take initiative, biasing toward action.
Stripe makes it easy to start, run and scale an internet business from anywhere in the world.
Stripe is, at its heart, an engineering company. To provide a missing pillar of core internet infrastructure, we hire people from various backgrounds with broad technical skills. Stripes take on some of the most challenging problems in the industry – from reliably handling 100M API requests per day, to building adaptive machine learning as a result of years of data science and infrastructure work, and empowering entrepreneurs worldwide to start a global internet business.
We look at Stripe as a constant work in progress and the same is true of our people. We’re here to support each other in our curiosity and creativity – which we pursue through thoughtful discussion and knowledge-sharing among a diverse set of peers and colleagues.
We contribute to open-source projects and the people working on them, and we release tools as open-source.
We want to work in a company of warm, inclusive people who treat their colleagues well. The kind of people who commit to going out of their way to help other Stripes in the short-term and pushing them to improve over the long-term (by helping them to get better at what they do).
We’re a diverse organization and view that as part of the fun: we design our space to encourage as much collaboration as possible. We also have a culture of transparency that we carry through to email communication, ensuring that Stripes all around the world have the information they need to make good local decisions.
North America • Remote