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Staff Machine Learning Engineer - Fraud Data

United States, Washington DC 192000.00 - 400000.00 USD / Year · Job Posted December 11, 2025
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Job Description

The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s cutting-edge fraud detection products. By leveraging Plaid’s extensive network data, we enable proactive fraud prevention—stopping fraud before it happens. Our team owns the entire ML lifecycle, from developing feature pipelines and training models to deploying and monitoring them in production. We ensure that our systems scale reliably and efficiently as Plaid continues to grow and support hundreds of customers.

Job Responsibility

  • Design and build scalable ML infrastructure for Plaid’s fraud detection product
  • Working at a fast-pace environment to build a rapidly growing product with a championship team
  • Solving complex problems at the intersection of ML systems, data, and reliability
  • Building the foundations for fraud detection on the largest financial dataset in the world
  • Collaborating with talented engineers and data scientists across Plaid

Requirements

  • 8+ years total experience
  • at least 5 years building and deploying production ML systems
  • proven experience in machine learning infrastructure/operations
  • demonstrated technical leadership and architectural vision, driving systems from concept to production
  • proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies

Nice to have

  • experience working in fraud detection, risk modeling, or financial security domains
  • background in graph machine learning or related techniques

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