Machine Learning Manager

About the role

Join Extend as a Machine Learning Manager, where you will lead a team of ML data scientists in developing and maintaining machine learning models for fraud detection, risk assessment, and identity resolution. You will guide your team through the full data science lifecycle, partner closely with Product and Engineering, and cultivate a culture of learning and collaboration. The ideal candidate will have a strong understanding of ML fundamentals, proficiency in Python and SQL, and experience managing ML teams. Key missions: Lead a team of ML data scientists in the development and quality of machine learning models for fraud detection, risk assessment, and identity resolution.. Guide the team through the full data science lifecycle, from requirements and experimentation through model development, evaluation, and monitoring.. Partner closely with Product and Engineering to integrate ML models into the product and continuously improve fraud detection capabilities. Profile: - Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes - Strong proficiency in Python and SQL - Excellent stakeholder management, with a track record of working cross-functionally to deliver results - 2+ years experience mentoring and managing ML teams - Empathy and humility - 6+ years of work experience building and deploying machine learning systems into production - 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 - Experience with model monitoring and observability tooling (e.g., Arize) - Experience with graph data and graph-based models (e.g., PyTorch Geometric) - Experience with cloud ML platforms, particularly AWS (e.g., SageMaker) - Experience building fraud detection or risk assessment systems