Senior Machine Learning Engineer, Financial Products
Adyen · San Francisco
About this role
**Senior Machine Learning Engineer — Financial Products** **About Adyen** Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft—making us a financial technology platform of choice. Everything we do is engineered for ambition. **About the Role** The Financial Products org at Adyen builds the foundational infrastructure that enables customers to manage their finances, issue cards, and access credits and financing globally. Adyen is building a Machine Learning Engineering team in San Francisco focused on **Credit Risk Modeling for Underwriting**. As a **Senior Machine Learning Engineer**, you will design, productionize, and operate machine learning models and rule-based decision systems that power credit products. You’ll work across the full model lifecycle—from research and data analysis to training, deployment, monitoring, and continuous improvement. This role is ideal for an engineer with strong **machine learning + production engineering** experience and sound judgment in **high-integrity financial systems**. You’ll help build continuous data flywheels that improve underwriting decisions while balancing rapid product innovation with robustness, explainability, and global scale. **In this role, you will:** - Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment (e.g., supervised and semi-supervised learning for inference on credit risk patterns) - Identify and fix performance bottlenecks in ML training and inference (memory consumption, online latency, training time, etc.) - Collaborate with software engineers to integrate ML solutions into products and services - Collaborate with CreditOps and data teams to integrate effectively with current tools and shape priority for future tools - Support and encourage good engineering practices on product ML teams **Working with the team** You’ll work closely with product, engineering, risk, and data teams to deliver underwriting capabilities for some of the world’s leading businesses.
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