About the company
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.
Job Summary
You will:
đź“ŤDesign elegant ML pipelines and services as well as prototype new approaches and productionize solutions at scale for our 36+ million active users đź“ŤCreate a world class platform for training, hosting and maintaining ML models đź“ŤApply ML and engineering best practices to shape how Cash App develops, tests and maintains ML-platform solutions đź“ŤHelp design and execute our long-term Machine Learning strategy across Cash App
Qualifications
You have: đź“ŤA degree/background in Computer Science, Computer Engineering, or a related technical field. A graduate degree is a nice to have đź“Ť3+ years of experience in software development and demonstrated technical initiative and leadership on previous projects đź“ŤCuriosity and a passion for Cash App's mission of economic empowerment đź“ŤExperience helping your teammates grow through mentorship and providing constructive feedback đź“ŤA desire to be hands-on and help invent the future of AI đź“ŤThe ability to work autonomously in the rapidly evolving world of ML đź“ŤExperience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you in the mysterious ways of ML
