Machine Learning Engineer, Stripe

• 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
• 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

Desirable

• The Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripe's payment products
• We build deep learning models that tackle Stripe's 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
• As a machine learning engineer on our team, you’ll develop advanced ML solutions that directly impact Stripe’s payment products and core business metrics
• Your role will span the entire ML lifecycle, from research and experimentation to production deployment
• You’ll work on high-leverage problems that require innovation in modeling, optimization, and system design
• Where possible, you’ll 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
• You’ll partner with product and engineering teams to identify opportunities where ML can move the needle today while setting Stripe up for long-term success
• 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