Block is looking for a Machine Learning Modeler to design and scale intelligent systems that power data-driven decision-making across various domains like Cash App, Square, Treasury, Cost, and Accounting, transforming raw data into foresight through advanced modeling, AI workflows, and automation frameworks for faster, smarter decisions at scale.
Requirements
- 5+ years of experience in software or ML engineering, with hands-on experience delivering production-grade ML systems.
- Deep understanding of applied ML and forecasting, including time-series, regression, and value prediction modeling.
- Strong proficiency in Python and common ML libraries such as scikit-learn, XGBoost, LightGBM, and NumPy/pandas.
- Experience building data pipelines using tools such as Airflow, Spark, or similar orchestration systems, and working with BigQuery or other large-scale data warehouses.
- Familiarity with model explainability techniques (e.g., SHAP, feature attribution, uncertainty quantification).
- Experience connecting model design to business objectives.
- Exposure to automated model serving, monitoring, or feedback loops in production.
Responsibilities
- Design and implement forecasting, financial, or optimization models that power strategic decisions across Block.
- Build end-to-end ML pipelines for training, deployment, and monitoring, ensuring reproducibility and performance at scale.
- Collaborate with Data Science to productionize experimental models and integrate them into live systems.
- Partner with Analytics & Finance teams to ensure forecasts are interpretable, accurate, and aligned with business objectives.
- Develop or contribute to explainability tools that communicate model drivers, confidence, and uncertainty to stakeholders.
- Improve data pipelines and workflows using systems like Airflow, BigQuery, and Spark.
- Establish and document best practices for model evaluation, experimentation, and maintenance.
Other
- Translate complex technical findings into clear, actionable recommendations for non-technical partners.
- Contribute to a culture of curiosity, high-quality engineering, and continuous learning within the Advanced Insights & Modeling organization.
- Proven ability to work cross-functionally and drive high-impact results.
- Experience in forecasting or planning models in fintech, consumer, or marketplace settings.
- A passion for transforming complex ML outputs into actionable insights and tools for decision-makers.
