Plaid
FinTech
SeniorMachineLearningEngineer(ResearchScientist)-DFAI
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“Senior Machine Learning Engineer (Research Scientist) - DFAI at Plaid. Skills: Machine Learning, Foundation models, AI infrastructure. Build foundation model. Design model architectures”
What You'll Achieve.
Achieve financial freedom
Industry & Context.
What They're Looking For.
Must Have
MS or PhD, 3-7 years industry experience, Applied ML research skills, Production delivery experience, Fintech financial data experience
Nice to Have
PhD preferred, External publications, Open-source contributions
What You'll Do.
Build foundation model
Design model architectures
Develop pretraining objectives
Create fine-tuning strategies
Build production-grade ML systems
Develop evaluation frameworks
Adapt foundation models
Validate model impact
How You'll Work.
Team & Collaboration
Product teams; Engineering teams
Communication Scope
Publish research findings
Full Job Description
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. The Data Foundation and AI team within Plaid’s Data organization builds the shared machine learning and AI infrastructure that powers capabilities across Plaid’s product suite. Our team transforms Plaid’s unique financial network data into scalable, general-purpose representations that can be leveraged by teams throughout the company. We own the full lifecycle of these systems, from pretraining data curation and model development to production serving, evaluation, and monitoring, enabling reliable and impactful AI-driven experiences at scale. As a Senior Research Scientist, you will lead applied research efforts for Plaid’s foundation model, designing model architectures, pretraining objectives, and fine-tuning strategies that generalize across a wide range of downstream product use cases. You will build and maintain production-grade ML systems end-to-end, including training pipelines, model serving infrastructure, feature engineering workflows, and monitoring systems. You will develop robust evaluation frameworks that measure model quality across diverse tasks and real-world applications, rather than optimizing for a single benchmark metric. In close partnership with product and engineering teams a
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