Machine Learning Engineer, Payments ML Accelerator at Stripe

This role is designed for a seasoned Machine Learning Engineer with at least 7 years of industry experience who excels at the intersection of deep learning and production engineering. The ideal candidate has a strong background in building end-to-end ML lifecycles—from researching foundation models to deploying them at scale within high-stakes financial environments. As part of a central innovation hub at Stripe, you will focus on high-leverage challenges like fraud detection and authorization optimization. While the compensation is not explicitly listed in this posting, Stripe is known for highly competitive pay and the opportunity to work on infrastructure that powers the global internet economy from major hubs like SF, NYC, or Seattle. **You might be a good fit if you...** * Have a proven track record of bringing deep learning or LLM-based models into production. * Are comfortable writing backend code and working with data pipelines in Python, Scala, and Spark. * Enjoy moving beyond "point solutions" to design reusable, extensible architectures. * Flourish in environments with high ambiguity and have a strong bias toward action and measurable impact.