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Baton

28 days ago

Software Engineer, MLOps - Machine Learning

Hybrid · San Francisco, California, United States San Francisco, California, United States

pythonsqlawskubernetes engineering

greenhouse

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AI TL;DR

Join Baton as a Software Engineer to enhance MLOps infrastructure in San Francisco. You'll work on automating model management and improving machine learning workflows.

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

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  1. What would you ship in the first month as Software Engineer, MLOps - Machine Learning at Baton?
  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?
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Job description

Join Baton as a Software Engineer to enhance MLOps infrastructure in San Francisco. You'll work on automating model management and improving machine learning workflows.

Details

  • San Francisco, California, work from office
  • $162,000 - $216,000 annual base salary
  • Full Time, Hybrid work model
  • Skills: Python, SQL, AWS, Kubernetes

The work

  • Build automated capabilities for model monitoring and retraining
  • Develop and productionize machine-learning models
  • Create self-serving ML infrastructure for easier model management
  • Strengthen integration between ML systems and Baton’s core platform