Senior Machine Learning Engineer (Research Scientist, Data Foundation & AI)
Plaid
full-remoteseniorpermanentbackenddata Full remote 70 days ago via WTTJ
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Machine LearningPythonTransformersLLMsDistributed TrainingModel ServingEvaluation FrameworksRepresentation LearningFeature EngineeringFintech
About the role
Role Overview
Join Plaid’s Data Foundation and AI team as a Senior Machine Learning Engineer. You will lead applied research on Plaid’s foundation model, build production ML systems, and create evaluation frameworks to ensure strong performance across tasks.
Key Missions
- Applied research on Plaid’s foundation model: design model architectures, pretraining objectives, and fine-tuning strategies.
- Production ML systems: build and maintain end-to-end training pipelines, model serving infrastructure, feature engineering, and monitoring.
- Robust evaluation: develop evaluation frameworks to assess model quality across diverse tasks (beyond optimizing a single metric).
Requirements
- Strong applied ML research skills with production delivery experience.
- Experience with distributed training and strong Python + software engineering fundamentals.
- Demonstrated ability to ship models to production (not only prototypes).
Nice-to-haves
- External publications or open-source contributions.
- Deep experience with Transformers/LLMs, representation learning, or large-scale model training.
- Fintech/financial data domain experience.
About Plaid
Plaid operates a data platform for financial services, helping connect and interpret financial data. It leverages AI and machine learning to build products that support financial freedom for consumers.
Scraped 5/20/2026