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lightningai

Sep 03

AI Platform Support Engineer (US)

Hybrid · New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States

pythonnodekubernetespytorch customer experience

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AI TL;DR

You will support ML engineers with large-scale training and inference workloads in production environments. This role involves diagnosing complex issues and improving platform reliability.

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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 AI Platform Support Engineer (US) at lightningai?
  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 support ML engineers with large-scale training and inference workloads in production environments. This role involves diagnosing complex issues and improving platform reliability.

Details

  • New York, San Francisco, or Seattle, in-office 2 days per week
  • $115,000—$140,000 USD
  • Experience with Kubernetes, cloud infrastructure, and distributed systems
  • No visa sponsorship available

The work

  • Partner with customer engineering teams to resolve ML infrastructure issues
  • Investigate failures in distributed training and Kubernetes orchestration
  • Analyze logs and system behavior to isolate root causes
  • Identify patterns in customer issues to drive reliability improvements