Manager, Machine Learning Engineer - Credit
Plaid · New York City Office
About this role
## About Plaid Plaid believes the way people interact with their finances will drastically improve in the next few years. Plaid empowers this transformation by building tools and experiences used by thousands of developers to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life—connecting financial accounts to the apps and services people want to use. Plaid works with thousands of companies (including Venmo, SoFi, several Fortune 500 companies, and many of the largest banks) and connects to 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, Plaid is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. --- ## About the Role As the **Manager of Machine Learning Engineering on the Credit team**, you’ll lead the team responsible for Plaid’s **LendScore** and **Income Insights** products. You’ll manage and develop a team of Machine Learning Engineers and Data Scientists, set direction for advancing insights, and partner with Engineering, Product, and other Data teams to deliver customer and business impact. ### In this role, you will: - Lead, support, and develop a team of Machine Learning Engineers and Data Scientists working across credit insights products. - Set technical and product direction for evolving **LendScore** and **Income Insights**, including the team’s machine learning roadmap. - Partner with Engineering, Product, and Data teams to prioritize opportunities and deliver reliable, scalable solutions. - Guide the development of machine learning models across the full lifecycle—from experimentation and offline training to online serving and monitoring. - Help the team tackle both **0-to-1** opportunities and the scaling and improvement of established products. - Foster a high-ownership, bottom-up team culture grounded in data-driven decisions and business impact. --- ## What Excites You - Leading work that can expand access to financial services for millions of people through well-known and emerging fintech applications. - Developing products and insights that support the next wave of cash-flow-based underwriting. - Helping a talented team experiment with modern machine learning techniques and bring them into production. - Shaping a roadmap that spans new **0-to-1** opportunities and scaling solutions already delivering value. - Working across Data, Engineering, and Product in a high-ownership environment where the team’s work drives meaningful impact. --- ## What Excites Us - **8+ years** of experience training and serving AI or machine learning models in production environments. - Experience leading a team of Data Scientists and Machine Learning Engineers. - Experience in fintech lending and a strong understanding of how models are built and used in lending. - Experience building or working with data-intensive backend applications in large, distributed systems. - Ability to code and iterate independently using data infrastructure tools such as **Python, Spark, Jupyter notebooks**, and standard machine learning libraries. - A track record of taking ownership and driving projects to business impact. - Ability to work effectively with both technical and non-technical teams. - Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field. - **Nice to have:** Experience in data analytics or data engineering. --- #
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