7 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 underwriting.
- Identify and resolve ML training and inference bottlenecks involving 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 model-feeding data pipelines.
- Strong understanding of software engineering practices, data engineering, and MLOps principles.
- Knowledge of data science, statistics, and machine learning techniques.
- Familiarity with 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.
- Experience with underwriting models or systems is preferred.
- Experience working with a machine learning feature store is preferred.
- Ability to lead projects, work with diverse stakeholders, and communicate complex outcomes clearly.
Benefits
- Annual base salary range of $227,500-$317,000 plus RSUs.
- San Francisco-based office-first role with no remote-only option.
- Potential future relocation discussions for Adyen offices in Amsterdam or Madrid.
- Equal opportunity workplace with accommodations and recruitment support available.
- Typical interview process takes about four weeks, with an application response target of five business days.
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.