Senior Machine Learning Operations Engineer
- Location
- San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States (United States)
- Workplace
- Remote
- Level
- Senior
- Team
- Engineering
- Salary
- USD 166,600 – 208,300
- Posted
- 2026-09-09 (2mo ago)
- Source
- Mercury's career page (Greenhouse)
- Last checked
- 2026-11-10 (2h ago)
About the role
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.…
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