About the 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 ...
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 carr...
At Mercury, we are committed to crafting an exceptional banking* experience for startups. Our team is passionately focused on ensuring our products create a safe environment that meets the needs of our customers, administrators, and regulators.
Required Skills & Abilities
5+ years in machine learning engineering, backend software engineering, MLOps, or a closely related field
Production ML service experience: deploying, serving, and operating models in low-latency, high-availability contexts
Strong backend engineering fundamentals in Python, with API frameworks like FastAPI or Flask
Experience with model deployment and lifecycle tooling: model registries, CI/CD for models, versioning, and staged rollout patterns (shadow, canary, champion/challenger)
Experience building observability and alerting for production services: latency, errors, and ideally model-specific signals like drift
Comfort with the data layer ML depends on: SQL, key-value/low-latency stores (Redis, DynamoDB, or equivalent), and streaming pipelines (Kafka, Kinesis, Redpanda, or equivalent)
Familiarity with a modern data stack (Snowflake, dbt, Dagster, Airflow, or similar)
Experience operating in a regulated, audit-sensitive, or compliance-adjacent environment
Exposure to functional languages or willingness to work across a stack that includes Haskell, React, and TypeScript
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered
