Machine Learning Engineer (Modeling)

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.

This role will be embedded on our Risk ML team. In this role you'll build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. You will experiment with state-of-the-art algorithms to drive down false positives, collaborate on new product features to drive fraud losses down, use any and every dataset at your disposal (including 3rd party data) to engineer new features for risk models, verify customer documents using OCR, and use biometric and device signals to detect malicious logins and account takeovers.

Technologies we use (and teach):

• Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
• MySQL, Snowflake, GCP/AWS and Tableau
• Java

• Build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure.
• Experiment with state-of-the-art algorithms to drive down false positives.
• Collaborate on new product features to drive fraud losses down.
• Use any and every dataset at your disposal (including 3rd party data) to engineer new features for risk models.

• 6+ years experience with applied Machine Learning or Deep Learning
• A graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical field
• Worked with Product, Design, and Engineering to prioritize, scope, design, and deploy ML models
• A track record of providing mentorship and technical leadership
• An appreciation for the connection between the software you build and the experience it delivers to customers
• Verify customer documents using OCR, and use biometric and device signals to detect malicious logins and account takeovers.