Extend - Manager, Machine Learning
Requirements
• 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 • Preferred: • Experience building fraud detection or risk assessment systems • Experience with cloud ML platforms, particularly AWS (e.g., SageMaker) • Experience with graph data and graph-based models (e.g., PyTorch Geometric) • Experience with model monitoring and observability tooling (e.g., Arize) • Estimated Pay Range: $180,000-$210,000 per year salaried*
Responsibilities
• 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
Benefits
• Life at Extend: • Life at Extend: • Working with a great team from diverse backgrounds in a collaborative and supportive environment. • Competitive salary based on experience, with full medical and dental & vision benefits. • Stock in an early-stage startup growing quickly. • Generous, flexible paid time off policy. • 401(k) with Financial Guidance from Morgan Stanley. • Extend CCPA HR Notice
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