Senior Machine Learning Engineer - Fraud

📋 Description

• Investigate fraud patterns and model errors to identify new signals, improve detection, and expand
• Develop training datasets and predictive features, addressing challenges such as incomplete labels
• Design, train, and tune models using traditional and modern ML methods, including gradient-boosted
• Design experiments to test features and models, comparing performance across time periods and
• Build data and training pipelines that support reproducible experiments and efficient iteration on
• Deploy models with Engineering and ML Infrastructure partners, balancing detection quality

🎯 Requirements

• 7+ years of professional experience in machine learning, applied science, or software engineering
• Hands-on experience designing, training, tuning, and deploying models, and measuring improvements
• Strong ML and statistical fundamentals, including feature engineering, experiment design, model
• Strong understanding of the strengths, limitations, and applications for both traditional and
• Experience constructing training datasets and addressing label quality, data leakage, class
• Strong Python skills, SQL proficiency for working with training and evaluation data, and hands-on

🎁 Benefits

• Medical, dental, vision coverage
• 401(k) plan
• Equity and/or commission opportunities
• Comprehensive benefit plan