11 hours ago
Base Salary
$228k - $317k/yr
Responsibilities
- Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment.
- Design, productionize, operate, monitor, and continuously improve machine learning models and rule-based decision systems for credit products.
- Identify and resolve performance bottlenecks in ML training and inference, including memory consumption, online latency, and training time.
- Collaborate with software engineers to integrate ML solutions into products and services.
- Partner with CreditOps and data teams to integrate current tools and shape future tooling priorities.
- Support strong engineering practices on product ML teams and lead projects from ideation through deployment.
Requirements
- 5–7+ years of experience as an engineer working in machine learning.
- Strong Python programming skills and experience with Java.
- Experience with the full machine learning model lifecycle in production.
- Experience using big data to build pipelines that provide appropriate model inputs.
- Strong understanding of software engineering practices, data engineering, and MLOps principles.
- Knowledge of data science, statistics, and machine learning techniques.
- Familiarity with Python data science tools including PySpark, Trino SQL, TensorFlow, PyTorch, XGBoost or LightGBM, Pandas, MLflow or similar MLOps frameworks, and Airflow.
- Experience with ML infrastructure tools such as Kubernetes, Docker, Airflow, Argo Workflows, Prometheus, and Grafana.
- Ability to lead projects, work with diverse stakeholders, and communicate complex outcomes clearly.
- Experience with underwriting models or systems and machine learning feature stores is preferred.
Benefits
- The annual base salary range is $227,500–$317,000 plus RSUs.
- This San Francisco-based role is office-first and does not offer a remote-only arrangement.
- Adyen offers small teams, direct communication, ownership, access to large global datasets, and potential future relocation discussions for Amsterdam or Madrid.
Tech Stack
Categories
About Adyen
Adyen builds a unified payments and financial technology platform for large merchants and platforms, offering card processing, POS, mobile, and global acquiring, plus risk and data tools. It sells payment processing and related services directly to businesses, earning fees per transaction. Founded in 2006 and headquartered in Amsterdam, it is a public company listed on Euronext Amsterdam (AMS: ADYEN) with customers including Meta, Uber, and H&M.