xelys jobs xelys jobs

Senior Machine Learning Engineer (Research Scientist, Data Foundation & AI)

Plaid

full-remoteseniorpermanentbackenddata Full remote 70 days ago via WTTJ

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

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