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Senior Machine Learning Engineer, Financial Products
Summary by AIEngineer.careers
Senior Machine Learning Engineer, Financial Products is a Machine Learning Engineer role (full-time). with Adyen. in SAN FRANCISCO, US. Compensation shown: $228K–$317K. Imported listing (source: indexventures.getro.com). Apply on the employer's site (indexventures.getro.com).
Imported listing (source: indexventures.getro.com) · Apply on indexventures.getro.com
SAN FRANCISCO · US
$228K–$317K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from indexventures.getro.com
Adyen is seeking a Senior Machine Learning Engineer in San Francisco to build and productionize credit risk modeling systems for its Financial Products division. You will design scalable ML pipelines for underwriting, focusing on feature engineering, model training, and deployment at global scale. The role requires strong expertise in Python/Java, MLOps practices, and collaborating with cross-functional teams to deliver high-integrity financial solutions.
Responsibilities
- Design, train, and deploy machine learning models and rule-based decision systems for credit risk underwriting.
- Develop and maintain scalable production ML pipelines for feature engineering, validation, and inference.
- Identify and resolve performance bottlenecks in ML training and online latency.
- Collaborate with software engineers, data scientists, and CreditOps to integrate ML solutions into products.
- Implement robust monitoring and continuous improvement strategies for production models.
Requirements
- 5-7+ years of experience as an engineer in the machine learning domain.
- Strong proficiency in Python and experience with Java.
- Experience with the full machine learning model lifecycle in production environments.
Adyen
Amsterdam · NL · 5550+ employees
Adyen is a global fintech company providing a single-platform payment processor for large digital businesses. It offers end-to-end payment solutions, data insights, and financial management tools.
