Manager, Machine Learning Engineer – Credit

Plaid

. Lead, support, and develop a team of Machine Learning Engineers and Data Scientists working across credit insights products .

Posted 11/5/2026full-timeNew York City • New York • United StatesSeniorLead💰 $259,200 - $395,280 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading teams of Machine Learning Engineers and Data Scientists, with a strong focus on developing and deploying AI models in production environments. Proficient in leveraging data-driven decision-making to drive business impact within fintech lending.

Highest-signal resume keywords

Machine Learning Model DevelopmentTeam LeadershipPython ProgrammingFintech Lending ExpertiseData-Intensive Backend Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI Model TrainingModel ServingData ScienceData Engineering

Soft Skills

OwnershipCollaborationCommunication

Tools & Technologies

PythonSparkJupyter NotebooksMachine Learning Libraries

Certifications & Qualifications

Master's Degree in Computer ScienceMaster's Degree in MathematicsMaster's Degree in Engineering

Industry Keywords

FintechCredit InsightsData-Driven DecisionsDistributed Systems

Tech Stack

Tools & technologies

Distributed SystemsPythonSpark

About the role

Key responsibilities & impact

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 model development across the full lifecycle, from experimentation and offline training to online serving and monitoring
Help tackle 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

Requirements

What you’ll need

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 Python, Spark, Jupyter notebooks, and standard machine learning libraries
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 have: Experience in data analytics or data engineering

Benefits

Comp & perks

Equity
Medical insurance
Dental insurance
Vision insurance
401(k)