Machine Learning Manager, Extend

• 6+ years of work experience building and deploying machine learning systems into production
• 2+ years experience mentoring and managing ML teams
• Strong proficiency in Python and SQL
• Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes
• Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks)
• Strong people leadership skills with the ability to develop ML talent
• Excellent stakeholder management, with a track record of working cross-functionally to deliver results
• Empathy and humility

Desirable

• You will lead a team of ML data scientists on the Fraud and ML team, owning the development and quality of Extend's machine learning models across fraud detection, risk assessment, and identity resolution
• You'll guide your team through the full data science lifecycle, from requirements and experimentation through model development, evaluation, and monitoring
• You’ll partner closely with Product and Engineering on integrating ML models into our product and with our Fraud Intelligence team to continuously improve our fraud detection capabilities
• Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
• Translate business problems into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
• Design and maintain feature engineering pipelines for model development
• Drive experiment design and statistical rigor: ensuring models are evaluated with sound methodology before and after launch
• Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
• Cultivate a culture of learning and collaboration within and across partner teams
• Perform design and code reviews to raise the technical excellence bar
• Hire, mentor, and coach data scientists