Machine Learning Engineer, Link

📋 Description

• Build, train, evaluate, deploy, and own machine learning models that detect fraud and abuse across
• Use large-scale datasets to investigate emerging threats, develop hypotheses, and identify
• Develop pragmatic machine learning solutions, including tree-based models and other approaches
• Design data pipelines, features, evaluation methods, experiments, and monitoring systems that
• Build and improve risk decisioning systems that integrate with other parts of Stripe’s payments
• Own ambiguous problems from initial analysis and problem definition through technical design

🎯 Requirements

• 6+ years of industry experience building and shipping machine learning models in production.
• Strong programming skills in Python and experience with common data and machine learning tools
• Strong knowledge of production machine learning systems, including data pipelines, feature
• Experience working with large and complex datasets and applying data analysis, statistics, and
• Demonstrated ability to take an open-ended business problem, determine where machine learning can
• Strong judgment in selecting practical modeling approaches and evaluating tradeoffs among model