11 hours ago
Base Salary
$297k - $401k/yr
Responsibilities
- Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment.
- Develop supervised and semi-supervised learning systems for credit-risk inference.
- 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
- Require 8+ years of experience as an engineer working in machine learning.
- Strong Python programming skills and experience with Java.
- Experience across the full machine learning model lifecycle in production.
- Experience using big data to build pipelines that provide appropriate model data.
- 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 Spark, Trino SQL, TensorFlow, PyTorch, XGBoost, LightGBM, Pandas, MLflow, 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 is preferred.
- Experience working with a machine learning feature store is preferred.
Benefits
- San Francisco-based, office-first role with no remote-only option and in-person collaboration.
- Opportunity to work with massive global payments and identity datasets and see work impact products at scale.
- Potential for future relocation discussions to Adyen offices in Amsterdam or Madrid.
- Includes RSUs in addition to the annual base salary.
Tech Stack
Apache AirflowApache SparkDockerGrafanaJavaKubernetesLightGBMMLflowPandasPrometheusPythonPyTorchSQLTensorFlowXGBoost
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.