Machine Learning Engineering Manager – Risk, Cash App
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, weve 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 todays banking system.
Job Description
Keeping our customers safe and secure is central to Cash’s vision of economic empowerment.
The Risk ML team builds models that identify and prevent fraud and we’re looking for a Machine Learning Engineering Manager to join us.
You will report to the Senior Manager of our Risk ML team and take on a group of 5+ ML Modelers.
You’ll partner with our Engineering, Product, and Data Science teams to brainstorm new projects and provide value to our customers.
Youll be responsible for high visibility metrics and present on initiatives to a broad set of stakeholders.
You will also work with the members of your team to identify new and large opportunities to shape the Risk roadmap.
You will:
Recruit, lead, and mentor a high-performing team
Provide coaching to your team that ensures their success, providing hands-on technical guidance and direction in critical areas
Identify new opportunities, develop prototypes, gather support from partners, and communicate staffing needs
Communicate your team’s work with senior leadership and the executive team
Stay up-to-date with the latest techniques in ML and foster a culture of learning
Help shape Cash App’s ML and Risk/Fraud/Product Health strategies
Qualifications
You have:
Experience leading teams both technically and in a formal management capacity – we’re looking for 1+ year as a formal people manager
Expertise in applying machine learning models to solve complex problems in a production setting
Deep knowledge of
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