[Remote] Machine Learning Modeler, Advanced Insights & Modeling

Note: The job is a remote job and is open to candidates in USA. Block is a company focused on economic empowerment through various innovative solutions. The Machine Learning Modeler will design and implement intelligent systems to enhance data-driven decision-making across the organization, collaborating with analytics and finance teams to ensure model accuracy and interpretability. 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 • 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 Skills • 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 • Proven ability to work cross-functionally and drive high-impact results • Experience in forecasting or planning models in fintech, consumer, or marketplace settings • Exposure to automated model serving, monitoring, or feedback loops in production • Background in statistical modeling, uncertainty estimation, or model interpretability research • A passion for transforming complex ML outputs into actionable insights and tools for decision-makers Benefits • Remote work • Medical insurance • Flexible time off • Retirement savings plans • Modern family planning Company Overview • Block is one company built from many blocks, all united by the same purpose of economic empowerment. It was founded in 1990, and is headquartered in Oakland, California, US, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Block has a track record of offering H1B sponsorships, with 227 in 2025, 253 in 2024, 260 in 2023, 297 in 2022. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job