Senior Machine Learning Modeler, Advanced Insights & Modeling

Senior Machine Learning Modeler, Advanced Insights & Modeling

Join Block as a Senior Machine Learning Modeler, Advanced Insights & Modeling. Block is a unified company focused on economic empowerment, driven by cross-functional teams in People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more. We build inclusive policies, forecast finances, provide legal counsel, secure systems, and nurture new initiatives across a global, multi‑disciplinary workspace.

You will pioneer the design of intelligent systems that power the future of decision‑making across Block — spanning Cash App, Square, and corporate domains such as Treasury, Cost, and Accounting. You will lead the architecture and delivery of AI‑driven, self‑adaptive models that forecast, reason, and act, shaping how Block allocates resources, scales growth, and plans for the future. This means going beyond traditional modeling to build autonomous ML workflows, graph‑based retrieval systems (Graph

RAG), and agentic orchestration frameworks (MCP and beyond) that make insights discoverable, explainable, and actionable across the company.

• Lead design and implementation of forecasting, financial, and cost modeling systems that inform company‑wide decisions.
• Develop scalable ML architectures and pipelines for training, serving, and monitoring predictive models.
• Build and extend AI tools for model explainability and interpretability, making predictions accessible to Finance, Analytics, and Product teams.
• Partner with Data Science to operationalize research models, ensuring performance, reliability, and reproducibility.
• Collaborate with Forecasting Analytics and Corporate Finance teams to deliver insights that guide resource allocation and financial planning.
• Define technical standards, best practices, and frameworks for applied ML development across business lines.

• 8+ years of experience in machine learning or software engineering, with proven experience leading large‑scale ML projects.
• Deep expertise in forecasting, predictive modeling, and value estimation, including statistical and ML‑based methods.
• Advanced proficiency in Python, and experience with libraries such as scikit‑learn, XGBoost, Light
  
  GBM, and pandas/numpy.
• Strong experience building end‑to‑end ML pipelines, leveraging tools like Airflow, Spark, Big Query, or equivalent systems.
• Demonstrated success in designing systems that support explainability, reproducibility, and operational reliability.
• Strong understanding of data modeling, feature engineering, and model evaluation in production contexts.
• Experience mentoring engineers and shaping team‑wide technical direction.
• Experience with forecasting frameworks (e.g., Prophet, stats models, or custom time‑series methods).
• Background in financial modeling, planning, or customer lifetime value prediction.
• Experience building automated or interactive explainability systems for ML‑driven forecasts.

Block is an equal opportunity employer. We evaluate all employees and job applicants without regard to identity or any legally protected class. We consider qualified applicants with arrest or conviction records in accordance with applicable state and local laws and fair‑chance ordinances. We provide reasonable accommodations to disabled applicants throughout the recruitment process. If you need an accommodation, please share it with your recruiter.