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Senior Machine Learning Operations Engineer

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Senior Machine Learning Operations Engineer in USA

  • Mercury
  • Full time
  • Email
  • Remote

Responsibilities

  • Build and operate a low-latency, highly available real-time inference service for the risk decision engine.
  • Own model deployment infrastructure, including registries, versioning, model CI/CD checks, shadow mode, and staged rollouts.
  • Build production and model observability for availability, latency, errors, and drift-based retraining triggers.
  • Partner with Risk Data Science on development-to-production handoffs and ongoing model operation.
  • Implement champion/challenger, canary routing, experimentation, and SHAP explainability outputs.
  • Help shape and build a new machine learning platform team with strong product ownership.

Requirements

  • 5+ years of experience in machine learning engineering, backend software engineering, MLOps, or a closely related field.
  • Experience deploying, serving, and operating production ML models in low-latency and high-availability environments.
  • Strong Python backend engineering fundamentals and experience with API frameworks such as FastAPI or Flask.
  • Experience with model registries, model CI/CD, versioning, and staged rollout patterns including shadow, canary, and champion/challenger approaches.
  • Experience building observability and alerting for production services, including latency and error monitoring and ideally model drift signals.
  • Comfort with SQL, low-latency or key-value stores such as Redis and DynamoDB, and streaming pipelines such as Kafka, Kinesis, or Redpanda.
  • Familiarity with Snowflake, dbt, Dagster, or Airflow is preferred.
  • Experience in regulated, audit-sensitive, or compliance-adjacent environments is preferred.
  • Exposure to Haskell, React, and TypeScript or willingness to work across that stack is preferred.

Benefits

  • The total rewards package includes base salary, equity through stock options or RSUs, and benefits.
  • The role is open to US employees in any location and Canadian employees in any location.
  • Target base salary is $166,600—$208,300 USD for US employees and $157,400—$196,800 CAD for Canadian employees.

Salary: $167k - $208k/yr

Mercury

Mercury is a financial technology company that primarily focuses on providing banking services tailored to startups and small businesses. It changes the startup banking experience by combining the stability of a bank with intuitive technology that gives founders more control, more time, and more ...

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