Manager, Machine Learning Engineer - Credit

Plaid • New York, NY

2d • $259,200 - $395,280

About The Position

As the Manager of Machine Learning Engineering on Plaid’s Credit team, you will lead the team responsible for the LendScore and Income Insights products. You will manage and develop Machine Learning Engineers and Data Scientists, set direction for advancing the team’s insights, and partner with Engineering, Product, and other Data teams to deliver customer and business impact. The role spans technical and product direction, machine learning development from experimentation through production serving and monitoring, and work on both new opportunities and established products.

Requirements

• 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 technical and non-technical teams.
• 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 0-to-1 opportunities and scale and improve 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 a 401(k).
• Additional compensation in the form of equity and/or commission, dependent on the position offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager