Machine Learning Engineer, Payments ML Accelerator

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse 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 everyones reach while doing the most important work of your career.

About the team

The Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripes payment products. We build deep learning models that tackle Stripes most complex payment challenges - from fraud detection to authorization optimization - and deliver measurable business impact. Our work combines advanced ML techniques with large-scale data infrastructure to enable rapid experimentation and seamless deployment of AI-powered solutions. As a central ML innovation hub we work closely with product teams to identify high-impact opportunities and implement scalable solutions that can be leveraged across the organization.

What youll do:

As a machine learning engineer on our team youll develop advanced ML solutions that directly impact Stripes payment products and core business metrics. Your role will span the entire ML lifecycle from research and experimentation to production deployment.

Youll work on high-leverage problems that require innovation in modeling optimization and system design. Where possible youll look beyond point solutions - designing approaches and architectures that are reusable extensible and serve as foundation models for future capabilities.

The role demands strong technical judgment deep knowledge of modern ML methods and the ability to translate ideas into systems that deliver measurable impact. Youll partner with product and engineering teams to identify opportunities where ML can move the needle today while setting Stripe up for long-term success.

Responsibilities:

• Design and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants issuers or customers
• Identify high-impact opportunities and drive the long-term ML roadmap through well-scoped high-leverage initiatives
• Architect generalizable ML workflows to enable rapid scaling and optimized online performance
• Deploy ML models online and ensure operational stability
• Experiment with advanced ML solutions in the industry and ideate on product applications
• Explore cutting-edge ML techniques and evaluate their potential to solve business problems
• Work closely with ML infrastructure teams to shape new platform capabilities

Who you are:

We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines building ML models and deploying them to production even if it involves making substantial changes to backend code. You are comfortable with ambiguity love to take initiative and have a bias towards action.

Minimum requirements

• Minimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production
• Proficient in Python Scala and Spark
• Proficient in deep learning and LLM/foundation models

Preferred qualifications

• MS/PhD degree in quantitative field or ML/AI (e.g. computer science math physics statistics)
• Knowledge about how to manipulate data to perform analysis including querying data defining metrics or slicing and dicing data to evaluate a hypothesis
• Experience evaluating niece and upcoming ML solutions