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Sardine

7 days ago

Machine Learning Engineer

Remote · North America North America

pythondockerkubernetesgcp full time

speedrun

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AI TL;DR

You will develop and manage the systems for real-time fraud detection at Sardine. This role involves building model serving infrastructure and ensuring the reliability of machine learning systems.

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Clear role · 80/100 against the market band on this page.

Interview prep for this job

  1. What would you ship in the first month as Machine Learning Engineer at Sardine?
  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 develop and manage the systems for real-time fraud detection at Sardine. This role involves building model serving infrastructure and ensuring the reliability of machine learning systems.

Details

  • Remote - United States or Canada
  • Generous compensation in cash and equity
  • Experience building model serving infrastructure
  • Strong skills in Python, Docker, Kubernetes, and GCP

The work

  • Build and own the model serving infrastructure and real-time inference
  • Monitor and manage models in production, including incident response
  • Optimize pipelines for turning raw signals into production-ready features
  • Develop the deployment path for data scientists to ship models