Staff ML Engineer, Credit Risk & Underwriting

Adyen; San Francisco, Northern (CA, KY); Hybrid; USD 297,000 - 401,000; Full time

Job summary

Adyen is seeking a Staff Machine Learning Engineer for Credit Risk Modeling within Financial Products in San Francisco. You will design, productionize, and operate ML models and rule-based systems powering credit products, spanning research to deployment and monitoring.

You will work across teams to deliver underwriting capabilities, balance speed with robustness, and drive scalable, explainable ML in a high-integrity financial platform.

Qualifications

• 8+ years of experience as an engineer in machine learning
• Strong Python programmer with experience in Java
• Experience with the full ML model lifecycle in production
• Experience leveraging big data to feed models
• Solid software engineering practices and data engineering/MLOps
• Knowledge of data science, statistics and ML techniques
• Familiar with Python tools such as pyspark, SQL, TensorFlow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar, and Airflow
• Knowledge of ML infrastructure tools (k8s, Docker, Airflow, Argo Workflows, Prometheus, Grafana)

Responsibilities

• Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment
• Identify and fix performance bottlenecks in ML training and inference
• Collaborate with software engineers to integrate ML solutions into products and services
• Collaborate with CreditOps and data teams to integrate with current tools
• Support and encourage good engineering practices on product ML teams

Skills

Python

Java

ML lifecycle

Big data pipelines

MLOps

Data science basics

Tools

TensorFlow

PyTorch

XGBoost/LightGBM

Pandas

MLFlow

Airflow

Kubernetes

Docker

Argo Workflows

Prometheus

Grafana

Job description

Adyen is seeking a Staff Machine Learning Engineer for Credit Risk Modeling within Financial Products in San Francisco. You will design, productionize, and operate ML models and rule-based systems powering credit products, spanning research to deployment and monitoring.

You will work across teams to deliver underwriting capabilities, balance speed with robustness, and drive scalable, explainable ML in a high-integrity financial platform.