Company Description

Square's ML Platform group has one goal: make machine learning at Square easy. Square has over 100 engineers and data scientists building machine learning solutions, and our group's job is to support these efforts. We build model development tools, feature computation infrastructure, and high-scale serving systems to ensure that those trying to use machine learning can spend less time on infrastructure and more time delivering value.

The Machine learning Evaluation team makes ML actionable, i.e., enable actions ("automated decisions") based on a prediction or decision. We make the platform easier to onboard, scalable, and sophisticated to support hundreds of model types and rules capabilities. We build systems to handle the processing load of all payments at Square while also being flexible enough to help data scientists from many teams do their jobs.

We sit in a unique spot as a platform team since we work with data scientists, engineers, and product managers from across the organization. We learn directly from our customers and build software that improves their productivity and capabilities.

We're looking for engineers to help us continue building Square's ML platform.

You will:

• Build tools and systems that make data scientists happier and more productive

• Build scalable systems that can host and execute hundred of ML models in realtime

• Work with product, data science, and engineering teams throughout the organization to understand their needs and solve their problems.

• Lead architectural and design discussions, ensuring our platform is performant, fault-tolerant, and maintainable.

• Mentor your teammates and assist engineers on other teams who integrate with our platform

Technologies you will use:

• Java, Python, GCP, AWS, and Snowflake

• MySQL, Redis, Hibernate, jOOQ, Bigtable, and React

Qualifications

• 5+ years of software engineering experience

• Experience designing and deploying large-scale distributed systems 

• Experience developing in Java, Ruby, Python, and/or Go.

• Cloud experience (AWS and/or GCP)

Bonus

• Experience building and productionizing end-to-end Machine Learning systems.

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.

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.