Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
The Role We're looking for a Machine Learning Modeler to design and scale the next generation of intelligent systems that power data-driven decision-making across Block-from Cash App and Square to Corporate domains like Treasury, Cost, and Accounting.
You'll build models and AI-driven workflows that don't just predict outcomes-they help shape them. Working across the full ML lifecycle, you'll transform raw data into foresight through advanced modeling, agentic AI workflows, and automation frameworks that enable faster, smarter decisions at scale.
You'll partner closely with analytics and data science teams to bring experimental models into production and with finance and operations partners to build explainable, self-optimizing systems that make forecasts and insights transparent, actionable, and continuously learning.
You Will - 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.
You Have - 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.
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .
While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$189,000 - $283,600 USD
Zone B:
$179,600 - $269,400 USD
Zone C:
$170,100 - $255,100 USD
Zone D:
$160,700 - $241,100 USD
Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
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