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.

As a Machine Learning Platform Engineer within the Risk Machine Learning team, you work on projects that enable a software driven, machine learning centric view on all money movement and every transaction within the rapidly growing Square seller ecosystem. You partner closely with machine learning modelers, product managers, and other stakeholders both within and outside the team to build and maintain robust large scale and real-time systems and algorithms that power Square’s artificial intelligence and machine learning driven risk decision making.

Our systems and algorithms derive value from our unique and rich data from our entire product portfolio within our rapidly growing seller ecosystem. We partner with business, product, operations and engineering teams to drive optimal decision making systems using sophisticated modeling and machine learning, powered by the robust, scalable and low latency system you help to build. We’re a passionate team of entrepreneurs, scientists, and engineers who are shipping machine learning models and systems that actively manages Square’s view on each transaction as it pertains to our revenue growth and risk.

You will:

• Architecture the design and drive the development of highly robust, scalable and real-time machine learning platforms

• Build new features and tools for machine learning models and data scientists that help to amplify their effectiveness

• Drive efficiencies through automation and optimization

• Drive and uphold high engineering standards and best practices

• Collaborate with business leaders, subject matter experts, product managers, machine learning modelers etc. to solve interesting and highly impactful business problems

You have:

• 2+ years of software development experience

• Experiences in architecting scalable and low latency services

• A bachelor’s degree (or above) in computer science or related field is very helpful but we are open to be convinced that you are an exception

• Strong grasp of Computer Science fundamentals

• Strong ownership coupled with strong teamwork and collaboration

• A background in Machine Learning is preferred but not required

• The ability to clearly communicate complex results to technical and non-technical audiences and stakeholders (PMs, Operations, Engineers).

At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

Perks

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

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. 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, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

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.