Adyen
Staff Machine Learning Engineer, Financial Products
$297K–$401K
San Francisco · Staff · Full-time · Posted Sep 15, 2026
- Experience
- 8+ years as an engineer working in the machine learning domain.
About the job
Design, productionize, and operate machine-learning models and rule-based decision systems for credit underwriting products, across the full model lifecycle.
What you'll do
- Build and maintain scalable ML pipelines for feature engineering, training, validation, and deployment; improve model-training and inference performance.
- Integrate ML solutions into products and collaborate with CreditOps, data, product, and engineering teams on tools and underwriting capabilities.
- Promote sound engineering practices on product ML teams and support model monitoring and continuous improvement.
What they ask for
- 8+ years of experience as an engineer working in the machine learning domain.
- Strong Python programming skills and experience with Java.
- Experience with the full ML model lifecycle in production and building big-data pipelines to feed models.
- Strong understanding of software engineering, data engineering, and MLOps principles; knowledge of data science, statistics, and machine-learning techniques.
Nice to have
- Experience with underwriting models or systems.
- Experience with a Machine Learning ‘Feature Store’.
Pay
$297,000 - $401,000 USD base salary
Tools
Python, Java, (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas
AI focus
Develop credit-risk models and rule-based underwriting decision systems, including supervised and semi-supervised learning; build production pipelines and data flywheels to improve underwriting decisions.
Model-written summary · the original posting is authoritative