Staff Machine Learning Engineer (Modeling), Value Metrics

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.
So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
The Role
The Value Metrics ML teams within the Product AI organization play a key role in developing advanced ML solutions for value predictions, providing critical insights for strategic investment decisions and supporting various business operations. We build company-wide predictive value metrics that inform global planning and operations at Square. Additionally, we develop early value models for go-to-market teams, powering data-driven marketing and sales strategies. Our models utilize a range of techniques, from classical methods like XGBoost to deep learning approaches such as neural networks. We work closely with stakeholders across finance, sales, marketing, product management, account management, and risk while driving innovation in data infrastructure and ML solutions.
We're seeking a Staff Machine Learning Engineer (Modeling) with deep expertise in value metrics (just like you!) to help expand Square's value metrics.
You Will

• Be a leader in the value metrics predictions space to drive Square's growth.
• Build and enhance end-to-end ML solutions that will power Square's core value prediction system for both potential and existing customers.
• Collaborate with stakeholders across Finance, Sales, Marketing, and other GTM teams to refine our growth strategy and support investment decisions with data-driven insights.
• Work with third-party data providers to complete the data loop for accurate value predictions.
• Stay on top of the latest advancements in ML, applying them to continuously evolve our measurement system.

You Have

• 8+ years of experience in ML software development with a strong track record of designing and maintaining production-grade machine learning systems.
• Deep expertise in the full ML lifecycle, including project setup, data pipelines, model training/serving, and monitoring.
• Specialized in lifetime value and similar value prediction systems using classical and deep learning methods, with hands-on experience applying them in business contexts.
• Passionate about shaping the team's direction and inspiring others to contribute.
• Eager to share ideas and embrace diverse perspectives.
• Strong communicator, adept at engaging 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 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 .
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
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.