Software Engineer (multiple Levels) - Machine Learning Infrastructure, Slack

Salesforce

Base: $148,500 - $313,700 annually; bonus/equity: ...
Distributed systems architecture
Kubernetes and container platforms
Gpu infrastructure management
The AI and ML Infrastructure team is responsible for building foundational systems that enable machine learning and AI across Slack

Job Summary

  • The AI and ML Infrastructure team is responsible for building foundational systems that enable machine learning and AI across Slack.
  • Engineers will design, build, and operate reliable, scalable platforms for large-scale model training and inference using Kubernetes and GPU infrastructure.
  • Salesforce offers a competitive base salary range of $148,500 to $313,700 annually along with comprehensive benefits including medical, dental, vision, and 401(k).

Matching Summary

The AI and ML Infrastructure team is responsible for building foundational systems that enable machine learning and AI across Slack.

Salary

Base: $148,500 - $313,700 annually; Bonus/Equity: Not specified (eligible for incentive compensation); Benefits: Medical, dental, vision, mental health support, paid parental leave, life insurance, disability insurance, 401(k), employee stock purchasing program

Skills & Requirements

Must-have

  • Distributed systems architecture
  • Kubernetes and container platforms
  • GPU infrastructure management
  • ML model training and serving
  • Cloud native system development
  • Ray or KubeRay experience
  • vLLM or similar inference stacks

Nice-to-have

  • Technical leadership and mentorship
  • Asynchronous global team collaboration
  • Strong written communication skills
  • Experience with Airflow or Spark
  • Thought leadership in engineering blogs

Key Requirements

  • Related technical degree required
  • Significant professional software engineering experience
  • Expert level knowledge of Kubernetes
  • Hands-on experience with GPU infrastructure

Work Rights

Not specified

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