Senior Software Engineer - Support ML, Cash App

  • Melbourne VIC, Australia
  • Full-time

Company Description

It all started with an idea at Square 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 app, bringing a better way to send, spend, invest, and save to our millions of monthly active users. We want to make the world’s relationship with money more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and we’ve got offices and remote teammates across the globe. Our offices are great, but 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. 

Check out our locations, benefits, and more at to learn more!

Job Description

The Support ML team aims to create better-than-human Customer Support experiences. Cash App holds people’s money, and building customers’ trust is absolutely essential to our brand. Providing fast and reliable help whenever the customer needs it is a major component of building that trust. 

What you’ll do:

  • Design, build and maintain Machine Learning systems that enable us to automatically solve customer problems in real-time

  • Work hand-in-hand with ML Modellers to identify and integrate new data sources, heuristics and models, allowing us to scale our customer support operations

  • Solve challenging technical problems at scale, collaborating with folks located here in Melbourne and across the globe

  • Own your solutions from design through to operation: we are all on the pager!


Prior experience or knowledge in Machine Learning is helpful but definitely not a prerequisite: if you are a solid software engineer then we are happy to train you up in the mysterious ways of ML!

We’re expecting you to have at least 3 years of industry experience, with a track record or desire to:

  • Work autonomously in a fast paced, ambiguous and unpredictable environment

  • Be naturally curious & eager to learn

  • Work creatively, taking the initiative and leading when required

  • Grow your solutions, fixing them as necessary

  • Communicate via clear and concise writing to facilitate collaboration across multiple time zones

  • Reason about complex, distributed systems at high scale within a mixed ecosystem of sync, async, RPC and event-driven architectures

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, based solely on the core competencies required of the role at hand, and without regard to any 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

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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