Machine Learning Engineer - Fraud Data - Plaid

We’re the Data team within Plaid’s Fraud organization, and we’re on a mission to stop fraud before it happens. Our team builds the machine learning systems that power Plaid’s most advanced fraud detection products, harnessing the scale and richness of Plaid’s network data to protect consumers and businesses alike. We own the full ML lifecycle — from feature pipelines and model training to deployment and monitoring — ensuring our systems are reliable, scalable, and ready to support hundreds of customers as Plaid continues to grow.

As a Machine Learning Engineer on Plaid’s Fraud Data team, you’ll play a key role in shaping the future of fraud prevention. You’ll develop new features and machine learning models that enhance the accuracy and effectiveness of our fraud detection systems, while building reliable data and model pipelines to power both experimentation and production workflows. Working closely with data science, infrastructure, and product teams, you’ll help design and deliver scalable, high-quality ML systems that protect Plaid’s customers at scale. You’ll also have the opportunity to explore and prototype GenAI-driven capabilities that push the boundaries of our fraud modeling and investigation tools.