Senior Machine Learning Engineer (research Scientist) - Data Foundation & AI

Plaid · Fintech · San Francisco, CA · Engineering

Plaid is seeking a Senior Research Scientist to lead applied research on their foundation model, focusing on designing architectures, pretraining objectives, and fine-tuning strategies. The role involves building and maintaining end-to-end production ML systems, including training pipelines, model serving, feature engineering, and monitoring, with a strong emphasis on shipping models to production and developing robust evaluation frameworks.

What you'd actually do

  1. Building a foundation model on one of the world’s richest financial datasets that no one else has.
  2. Doing research that ships: moving from experimentation and prototypes to production systems serving real customers.
  3. Working across the full ML stack, from pretraining objectives and architectures to serving infrastructure and monitoring.
  4. Collaborating with a high-caliber team and seeing your work amplify the capabilities of multiple product teams.
  5. Helping hundreds of millions of consumers achieve greater financial freedom through data-driven products.

Skills

Required

  • Strong applied ML research skills
  • production delivery experience
  • Depth in Transformers/LLMs, representation learning, or large-scale model training
  • Demonstrated ability to ship models to production
  • Distributed training experience
  • strong Python + software engineering fundamentals

Nice to have

  • Fintech / financial data domain experience
  • External publications or open-source contributions

What the JD emphasized

  • production delivery experience
  • ship models to production
  • Distributed training experience

Other signals

  • foundation model
  • pretraining data curation
  • model development and training
  • production deployment
  • serving
  • monitoring
  • representation learning
  • large-scale model training
  • Transformers/LLMs