Machine Learning Engineer

Company Description

Cash App is the fastest growing financial brand in the world.

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 with over 40 million monthly active users.

We are bringing a better way to send, spend, invest, and save to anyone who has ever sought an alternative to the traditional banking system. 
Loved by customers and pop culture, we’ve consistently held the top spot for finance in the App Store for many years, seeing more engagement with millions of followers across social media in a day than most brands see in a year.

We are building an ecosystem to redefine the world’s relationship with money by making it universally accessible.

We want to hire the best talent regardless of location.

Our employment model is distributed, offering the opportunity to collaborate with teams across the world in San Francisco, New York, St.

Louis, Portland, Toronto, Kitchener-Waterloo, Sydney, and Melbourne.

Job Description

Machine Learning at Cash App has swiftly grown to become a central function of the business, with over 120 people working on solving some of the most cutting edge ML questions in FinTech.

Our team is continuing to grow and we’re looking for Engineers with experience developing ML pipelines and infrastructure to join us and build out the next generation platform to power use cases across the company.

Across the team, we employ methods ranging from simple heuristics to Deep Learning technology to improve our performance and services.

We’re also excited to explore new directions with the team to continue pushing the boundaries of what’s possible.

Our ML Engineers operate embedded in product-focused Workstreams and work in close collaboration with Data Scientists, ML Modelers and Software Engineers from across Cash App.

Problems you’d work on :

• Design elegant ML pipelines and services as well as prototype new approaches and productionize solutions at scale for our 36+ million active users
• Create a world class platform for training, hosting and maintaining ML models 
• Apply ML and engineering best practices to shape how Cash App develops, tests and maintains ML-platform solutions
• Help design and execute our long-term Machine Learning strategy across Cash App

Qualifications

You have: 

• A degree/background in Computer Science, Computer Engineering, or a related technical field.

  A graduate degree is a nice to have

• 3+ years of experience in software development and demonstrated technical initiative and leadership on previous projects
• Curiosity and a passion for Cash App’s mission of economic empowerment 
• Experience helping your teammates grow through mentorship and providing constructive feedback 
• A desire to be hands-on and help invent the future of AI
• The ability to work autonomously in the rapidly evolving world of ML
• Experience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you up in the mysterious ways of ML

Stack: 

We value general engineering skill and versatility over existing domain knowledge, but here’s a sample of what we currently use:

• Python, Java and Kotlin 
• Tensorflow and PyTorch 
• AWS, GCP, and Kubernetes
• MySQL, DynamoDB, Kafka, Apache Beam and Google DataFlow

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.  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.

Block, Inc.

More Information on Square

Square operates in the Fintech industry.

The company is located in San Francisco, CA, Atlanta, GA, St.

Louis, MO, Salt Lake City, UT, New York, NY, Denver, CO and Seattle, WA.

Square was founded in 2009.

It has 6769 total employees.

It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance.

To see all 408 open jobs at Square, click here .