Staff Machine Learning Engineer (Modeler), Advanced Insights and Modeling

blockBay Area, CA, United States of Americagreenhouse
Posted Date:

September 8, 2025

Employment Type:

Not specified

Work Arrangement:

On-site/Hybrid

Skills & Technologies

30421 Foundational - Guidance - Strategic Financepreferred

Job Description

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

    • 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 opportunit