Senior Machine Learning Engineer

Adyen is a Dutch financial technology company providing global payment acceptance.

57 current maintainers51 active leads10 new active leads8 lead step-downs
Amsterdam, Netherlands
About Adyen

Adyen N.V. operates a unified financial technology platform for businesses. Its services cover online, in-person, and in-app payments; acquiring; payment methods; risk and authentication; platforms and marketplaces; payouts; card issuing; business accounts; capital; and liquidity management.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design, deploy, and maintain production machine-learning services and pipelines. You will improve training and inference performance, integrate ML solutions into products, scale research prototypes, collaborate on MLOps tooling, and promote sound engineering practices across product ML work.

Requirements

  • 5+ years of engineering experience in machine learning
  • Python
  • Experience with the full production ML model lifecycle
  • Big-data pipeline development
  • Software engineering, data engineering, and MLOps principles
  • Data science, statistics, and machine learning techniques
  • PySpark
  • Trino SQL
  • TensorFlow
  • PyTorch
  • XGBoost
  • LightGBM
  • Pandas
  • MLflow
  • Airflow
  • Kubernetes
  • Docker
  • Argo Workflows
  • Prometheus
  • Grafana

Responsibilities

  • Develop and maintain ML pipelines for data ingestion, training, validation, and deployment
  • Identify and fix ML training and inference performance bottlenecks
  • Integrate ML solutions into products and services
  • Transition research prototypes into scalable solutions
  • Collaborate on MLOps and platform tooling
  • Support good engineering practices on product ML teams