Company Description
It all started with an idea at Block in 2013. 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 ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world\'s relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We\'ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at
The Machine Learning Engineering (MLE) organization at Cash App is responsible for the production implementation of machine learning use cases throughout Cash App, as well as data and ML infrastructure to accelerate the work of our modelers and data scientists. Our team has grown rapidly, and we\'re looking at expanding our Machine Learning Technical Program Management team (ML TPM) to help build bridges, create reusable frameworks, and align responsibilities and priorities between the MLE teams and their product and infrastructure team counterparts. In this role, you\'ll have the opportunity to gain exposure to many cutting-edge domains of ML and understand how machine learning is applied in a diverse set of financial contexts to redefine the world\'s relationship with money.
Cash App has fully embraced remote work, and you\'re free to work in-office, hybrid, or fully remote for this role - you choose whatever works best for you. This position reports to our Principal Group TPM.
You will:
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