Block
Staff Machine Learning Engineer (Modeler), Advanced Insights and Modeling
Be an Early Applicant
Lead innovation in metrics prediction, design end-to-end ML solutions, collaborate with stakeholders, and stay updated on ML research to enhance value prediction systems.
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
The Advanced Insights and Modeling (AIM) team is a high-impact, business-savvy group of builders-comprising machine learning engineers, data scientists, data engineers, and business strategists-who blend cutting-edge machine learning with deep product and financial insight. Known for high standards, rapid execution, and full-stack model ownership, they deliver scalable, high-value solutions across domains. AIM thrives on curiosity, bold thinking, and collaboration, fostering a magnetic, non-corporate culture. Trusted across the company, they are a go-to partner for insight, speed, and transformative business impact.
The AIM team plays a pivotal role in developing and scaling AI-driven predictive metrics that inform strategic investment decisions and drive operational excellence across the company. These metrics such as revenue inflow and outflow, active customer counts, customer lifetime value, and sales prospect value are foundational to planning and execution across Finance, Marketing, Sales, Product, and Risk, enabling high-confidence, data-informed decisions at scale.
We apply a wide range of machine learning techniques, from interpretable models like XGBoost to cutting-edge neural networks, to forecast customer value, segment opportunities, and optimize strategic plays. Our work goes beyond modeling: we contribute to Block's broader AI ecosystem by building shared infrastructure and integrating our models into AI interfaces that empower internal teams to explore data, generate insights, and take effective action.
As a trusted partner across Finance, Sales, Marketing, Product Management, and Risk, we also invest heavily in scalable ML systems and robust data pipelines to support Block's long-term growth.
We're looking for a Staff Machine Learning Modeler with deep expertise in value prediction and a passion for driving impact at scale. If you're excited about shaping the future of predictive modeling at Block, we'd love to hear from you.
You Will
You Have
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 also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
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.
Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
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.
Zone A: USD $228,700 - USD $343,100
Zone B: USD $217,300 - USD $325,900
Zone C: USD $205,900 - USD $308,900
Zone D: USD $194,500 - USD $291,700
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.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.
The Role
The Advanced Insights and Modeling (AIM) team is a high-impact, business-savvy group of builders-comprising machine learning engineers, data scientists, data engineers, and business strategists-who blend cutting-edge machine learning with deep product and financial insight. Known for high standards, rapid execution, and full-stack model ownership, they deliver scalable, high-value solutions across domains. AIM thrives on curiosity, bold thinking, and collaboration, fostering a magnetic, non-corporate culture. Trusted across the company, they are a go-to partner for insight, speed, and transformative business impact.
The AIM team plays a pivotal role in developing and scaling AI-driven predictive metrics that inform strategic investment decisions and drive operational excellence across the company. These metrics such as revenue inflow and outflow, active customer counts, customer lifetime value, and sales prospect value are foundational to planning and execution across Finance, Marketing, Sales, Product, and Risk, enabling high-confidence, data-informed decisions at scale.
We apply a wide range of machine learning techniques, from interpretable models like XGBoost to cutting-edge neural networks, to forecast customer value, segment opportunities, and optimize strategic plays. Our work goes beyond modeling: we contribute to Block's broader AI ecosystem by building shared infrastructure and integrating our models into AI interfaces that empower internal teams to explore data, generate insights, and take effective action.
As a trusted partner across Finance, Sales, Marketing, Product Management, and Risk, we also invest heavily in scalable ML systems and robust data pipelines to support Block's long-term growth.
We're looking for a Staff Machine Learning Modeler with deep expertise in value prediction and a passion for driving impact at scale. If you're excited about shaping the future of predictive modeling at Block, we'd love to hear from you.
You Will
- Lead innovation in the metrics prediction space, directly contributing to Block's growth and strategic planning.
- Design and build end-to-end ML solutions that power Block's core value prediction systems for both prospective and existing customers.
- Collaborate cross-functionally with stakeholders across Finance, Sales, Marketing, and other go-to-market teams to refine growth strategies and support high-impact investment decisions with data-driven insights.
- Engage with third-party data providers to enrich data sources and close feedback loops for more accurate and actionable value predictions.
- Stay at the forefront of ML research, continuously evaluating and applying the latest advancements to evolve and enhance our value measurement systems.
You Have
- 8+ years of experience in machine learning software development, with a proven track record of designing, building, and maintaining production-grade ML systems.
- Deep expertise across the entire ML lifecycle, including project scoping, data engineering, model training, deployment, and monitoring in real-world environments.
- Specialized knowledge in customer lifetime value and related value prediction systems, with hands-on experience applying both classical ML methods (e.g., XGBoost) and deep learning techniques in business-critical use cases.
- A strategic thinker and team leader, passionate about influencing direction and inspiring contributions across teams.
- A collaborative mindset, eager to share ideas, embrace diverse perspectives, and work across functions to solve complex problems.
- Excellent communicator, skilled at translating technical insights for both technical and non-technical audiences.
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 also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
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.
Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
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.
Zone A: USD $228,700 - USD $343,100
Zone B: USD $217,300 - USD $325,900
Zone C: USD $205,900 - USD $308,900
Zone D: USD $194,500 - USD $291,700
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.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.
Top Skills
Deep Learning
Machine Learning
Predictive Modeling
Xgboost
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