Company Name:-
Cash App

Job Location:-
San Francisco, CA 94103 (South of Market area)

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionCompany Description
Cash App is the fastest growing financial brand in the world.

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 money app with over 36 million active monthly users.

Loved by customers and by pop culture, we’ve held the #1 spot in finance on the App Store for almost two years, and our social media posts see more engagement in a day than most financial brands see in a year.

With major offices in San Francisco, New York, St.

Louis, Portland, Kitchener-Waterloo, Toronto and Melbourne, Cash App is bringing a better way to send, spend, and save to anyone who has ever sought an alternative to today’s banking system.

Job Description
We are looking for a machine learning engineer to join our Machine Learning Modeling Tools (MLMT) team and help build Cash App.

The MLMT team is focused on building/enhancing tools, libraries, frameworks, developer environments, etc.

for ML modeling workflows.

The role is cross functional working with Data Science, Machine Learning (ML), and Engineering teams.

You will be covering a wide variety of problems, from Risk to Growth to Lending; You will also be working closely with other Engineering teams across the company.

You will also work very closely with the members of your team to identify new and large opportunities that will shape our ML roadmap & strategy.

We are looking for someone who will thrive in a fast-paced environment, be very hands on, and operate independently.

You will:
Design and build services and tooling that support all of our ML and Data Science teams
Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications
Develop prototypes and partner with ML teams to encourage adoption of new tools and technologies
Proactively identify new opportunities and future needs of our ML teams
Lead by example by applying ML and engineering best practices
Stay up-to-date with the latest techniques in machine learning and foster a culture of learning within the organization
Help shape Cash App’s ML capabilities and strategy
Qualifications
You have:
3-5+ years of a combination o

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