Machine Learning Engineering Manager, Personalization

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day. Check out our Machine Learning / AI blog!

We are looking for an engineering manager to join and lead Cash App’s Personalization ML Engineering team. This group oversees all personalization ML engineering work for Cash App & Afterpay, including recommendations, search retrieval/ranking, growth incentives, cross/up-sell, etc.

You will partner closely with our most senior product and modelling leads on how to incorporate machine learning into the development of new features and identify opportunities to leverage AI to personalize and enrich our existing products and features.

You Will

• Grow, lead, and mentor a team of machine learning engineers
• Provide both technical and career guidance for each individual on your team
• Partner very closely with your machine learning modeling EM counterpart on roadmapping, prioritization, goals, etc.
• Partner and collaborate closely with Cash App’s and Afterpay’s senior-most product and business leaders
• Work with your team to identify new opportunities, develop prototypes, achieve buy-in from partners, and deliver production-ready ML solutions that have a large impact on the business
• Effectively communicate your team’s work with senior leadership and the executive team on a regular basis
• Contribute directly to quarterly and annual strategic plans
• Stay up-to-date with the latest state-of-the-art techniques in AI (e.g. LLMs and generative AI more broadly) and foster a culture of learning within the organization
• Help shape Block’s overall ML and AI strategy

You Have

• 6+ years of machine learning and/or engineering experience
• 2+ years of experience managing teams of machine learning engineers and/or engineers
• An advanced degree in Machine Learning, Computer Science, Math, Statistics, Physics, or a related technical field
• Very strong communication, collaboration, and stakeholder management skills
• Experience working cross-functionally to build and ship new products and features that leverage ML in a production environment
• An appreciation for how to go from zero-to-one for new ML solutions as well as how to optimize mature, scaled ML applications
• Strong software engineering fundamentals and the ability to manage teams that adhere to engineering best practices
• Intellectual curiosity and a passion for Block’s purpose of economic empowerment

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.