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Mercury Technologies

7 days ago

Senior Machine Learning Operations Engineer

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

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AI TL;DR

You will build and operate a real-time inference service for risk decisioning at Mercury. This role involves managing model deployment infrastructure and ensuring production observability.

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  1. What would you ship in the first month as Senior Machine Learning Operations Engineer at Mercury Technologies?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

You will build and operate a real-time inference service for risk decisioning at Mercury. This role involves managing model deployment infrastructure and ensuring production observability.

Details

  • Remote within Canada or United States
  • $166,600—$208,300 USD for US employees
  • 5+ years in machine learning engineering or related field
  • Strong backend engineering fundamentals in Python

The work

  • Build and operate the real-time inference service for scoring models
  • Own model deployment infrastructure including CI/CD and versioning
  • Build model observability for monitoring availability and latency
  • Partner with Risk Data Science for model handoff to production