Description
Adyen is hiring a Staff Machine Learning Engineer for its San Francisco-based Financial Products team to build and operate machine learning models and rule-based decision systems for credit risk underwriting. The role covers the full model lifecycle, including data pipelines, training, validation, deployment, monitoring, performance optimization, and continuous improvement, while collaborating with product, engineering, risk, and data teams. Candidates need at least eight years of machine learning engineering experience, strong Python and Java skills, production MLOps knowledge, and familiarity with tools such as Spark, SQL, TensorFlow, PyTorch, XGBoost, Airflow, Kubernetes, and Prometheus. The position is office-based in San Francisco and offers an annual base salary of $297,000 to $401,000 plus RSUs.
