Engineering Manager, Growth ML Infrastructure

  • San Francisco, CA
  • Employees can work remotely
  • Full-time

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

We are hiring a Machine Learning (ML) Engineering Manager to build and lead the Growth Infrastructure initiatives within the Automation org. This role reports directly to the Head of Growth ML and will involve building our MLE Growth Infra team. It will be your team's core responsibility to build, maintain, and evolve the infrastructure and tooling that powers our ML applications in production, at scale. In doing so, you will partner frequently with our ML Modeling and platform-focused ML teams.

You Will:

  • Lead design and development of scalable systems for improving the core infrastructure required by the Machine Learning applications for our rapidly growing customer base.

  • Build and grow the MLE Growth Infra team

  • Take an active role in defining our MLE discipline and recruiting senior ML Engineers, with diversity being top of mind

  • Lead complex technical, architecture, design, and product discussions

  • Provide coaching and mentorship to Engineers within your team and across the organization

  • Foster a culture of ownership, inclusiveness and diversity on the team

  • Help build the next generation of data products at Square


You Have: 

  •  7+ years of software development/machine learning experience

  •  2+ year experience directly managing Engineers - including providing mentorship, feedback, and investing in the career growth of your team members

  • Knowledge of the most advanced and up-to-date ML platforms and frameworks

  • Experience with cloud computing platforms, such as AWS, Google Cloud or Azure.

  • Experience in designing and productionizing large-scale distributed systems built around machine learned models and big data.


Some technologies we use and teach:

  • Java 11 including JUnit, Hibernate, Guice, and Jersey

  • Kotlin and Python

  • MySQL

  • gRPC and Protocol Buffers

  • Amazon Web Services & Google Cloud Platform

  • Kafka, Flink

  • Event-driven architecture

Additional Information

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. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

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.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.


At Square, we want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.

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