Staff Machine Learning Engineer - Credit

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system. We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. At Plaid, our Data team builds the intelligent systems that help millions of people better understand and improve their financial lives. We’re looking for Machine Learning Engineers who are passionate about applying advanced modeling and machine learning techniques—such as natural language processing, anomaly detection, optimization, and time series forecasting—to create meaningful product impact. As a Machine Learning Engineer within Plaid's Data organization, you will be responsible for designing, building, and scaling machine learning solutions that drive core product experiences. You will take the lead on initiatives to experiment with innovative modeling approaches, deploy production-ready systems, and work closely with engineers and data scientists to translate raw data into valuable insights. If you are passionate about advancing state-of-the-art ML to empower financial freedom for all, we encourage you to apply.