Senior Machine Learning Operations Engineer

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States · Remote-friendly

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Company
Mercury
Location
San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Salary
$166,600 — $208,300
Posted
September 9, 2026

About this job

Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deployment, speeding up iteration, and ensuring granular production observability. MLP owns the production ML lifecycle: the systems that take a model from registry through deployment, real-time inference, observability, and retraining. Our Data Science colleagues author and train the models. We build the platform that lets them register, deploy, and observe those models in production without carrying the operational burden themselves.…

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Senior Machine Learning Operations Engineer — Mercury | NewLuxJob