Manager, Machine Learning Engineer - Credit
About The Position
The Manager of Machine Learning Engineering on Plaid’s Credit team leads the team responsible for the LendScore and Income Insights products. The role manages and develops Machine Learning Engineers and Data Scientists, sets direction for advancing credit insights, and partners with Engineering, Product, and other Data teams to deliver customer and business impact. The manager sets technical and product direction for the products and their machine learning roadmap; guides models through experimentation, offline training, online serving, and monitoring; and helps the team pursue both new opportunities and improvements to established products. The role fosters a high-ownership, bottom-up culture grounded in data-driven decisions and business impact. Plaid describes its mission as unlocking financial freedom for everyone and emphasizes building a diverse team and an equitable financial ecosystem.
Requirements
- At least 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, and Jupyter notebooks, along with standard machine learning libraries.
- A track record of taking ownership and driving projects to business impact.
- Ability to work effectively with technical and non-technical teams.
- A master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.
Nice To Haves
- Experience in data analytics or data engineering.
Responsibilities
- 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 machine learning models through the full lifecycle, from experimentation and offline training to online serving and monitoring.
- Help the team pursue 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.
Benefits
- Comprehensive benefit plan including medical, dental, and vision coverage, and 401(k).
- Additional compensation in the form of equity and/or commission, depending on the position offered.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
