Senior Machine Learning Modeler, Advanced Insights & Modeling

Key Skills

Apache Airflow, Data science techniques, Google BigQuery, Leadership Skill, Machine learning techniques, Python Programming

Job Description

We're looking for a Senior Machine Learning Modeler to 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'll 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: building autonomous ML workflows, graph-based retrieval systems (GraphRAG), and agentic orchestration frameworks (MCP and beyond) that make insights discoverable, explainable, and actionable across the company.

As a senior technical leader, you'll work across business and engineering boundaries—collaborating with Data Science, Forecasting Analytics, and Finance—to design scalable, trustworthy AI systems that turn complexity into clarity. Your work will set the standard for how Block brings together machine learning, automation, and intelligent decisioning to drive long-term business impact.

You Will

• 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.

You Have

• 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, LightGBM, and pandas/numpy.
• Strong experience building end-to-end ML pipelines, leveraging tools like Airflow, Spark, BigQuery, 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, statsmodels, 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.

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:

$228,700—$343,100 USD

Zone B:

$217,300—$325,900 USD

Zone C:

$205,900—$308,900 USD

Zone D:

$194,500—$291,700 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.