Senior Machine Learning Engineer - Growth ML Infrastructure

  • New York, NY
  • 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

The Growth ML organization is responsible for building intelligent and scalable machine learning solutions that use optimization and personalization to increase the impact of our go-to-market efforts. Our team is primarily hired to intelligently automate and optimize communication channels, as well as to personalize creative, platforms, and products. Our goal is to provide the best seller experience across all of our go-to-market channels throughout the seller lifecycle to ultimately fuel the growth of Square and its ecosystem of products.

As a senior MLE within the Growth ML Infrastructure team, you will lead projects that help with Square’s growth. This team exists to enable Machine Learning Modelers to quickly and effectively build state of the art machine learning models through easy to use tools and next generation ML Infrastructure.

You Will: :

  • Lead the design and development of core infrastructure used by ML applications for our rapidly growing seller base.

  • Help build the next generation of data products at Square

  • Collaborate with the Square centralized ML Platform team to bring meaningful enhancements and efficiency to the workflows of Growth MLEs.

  • Collaborate with product managers, machine learning engineers, software engineers and data scientists.

  • Advocate for engineering best practices and up-skill the team


You have:

  • 4+ years of ML software development experience

  • Understanding of the entire ML development lifecycle: project setup, data pipeline, model training/serving and monitoring

  • Experience in architecting scalable and low latency services

  • Strong grasp of computer science fundamentals 

  • Effective communication skills with technical and non-technical people

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, 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. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.


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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