
Senior Machine Learning Engineer (Research Scientist) - Data Foundation & AI
Job Description
The Data Foundation and AI team within Plaid’s Data organization builds and maintains the shared machine learning and AI infrastructure that powers capabilities across Plaid’s product suite. The team transforms Plaid’s unique financial network data into general-purpose representations that can be leveraged by teams across the company. They are responsible for the full lifecycle of these systems, including pretraining data curation, model development and training, as well as production deployment, serving, and ongoing monitoring.
As a Senior Research Scientist on the Data Foundation and AI team, you will lead applied research on Plaid’s foundation model by designing model architectures, pretraining objectives, and fine-tuning strategies that generalize across a wide range of downstream product use cases. You will also build and maintain end-to-end production machine learning systems, including training pipelines, model serving infrastructure, feature engineering, and monitoring. In addition, you will develop robust evaluation frameworks to assess model performance across diverse tasks, ensuring quality beyond single-metric optimization.
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Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- San Francisco, Argentina (Hybrid)
- Posted
- Compensation
- $228,960 - $344,160 per year
About Plaid
Plaid develops financial technology infrastructure that enables applications to connect with users' bank accounts and financial data. The company provides APIs that facilitate secure access to consumer-permissioned banking, investment, and credit information across various financial institutions. Plaid’s platform supports services such as personal finance management, payments, lending, and identity verification.
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