Senior/staff Software Engineer- Machine Learning Infrastructure, Slack

Salesforce

Multiple Locations
Base: $172,500 - $313,700 annually; bonus/equity: ...
Distributed systems
Kubernetes
Gpu infrastructure
The AI and ML Infrastructure team is responsible for the foundational systems that enable machine learning and AI across the company

Job Summary

  • The AI and ML Infrastructure team is responsible for the foundational systems that enable machine learning and AI across the company.
  • In this role, you will own foundational infrastructure for large scale model training and inference, and evolve it into a reliable, secure, and self service platform used across the company.
  • Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

Matching Summary

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

Salary

Base: $172,500 - $313,700 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • distributed systems
  • Kubernetes
  • GPU infrastructure
  • ML lifecycle
  • cloud native systems

Nice-to-have

  • AI-powered operating system
  • consumer-grade AI experience
  • developer facing tools
  • thought leadership

Key Requirements

  • Significant professional experience in software engineering
  • Deep experience building and operating distributed systems
  • Hands on experience with modern ML infrastructure
  • Experience working with GPU infrastructure
  • Strong experience with data infrastructure
  • Experience building and operating cloud native systems
  • A related technical degree required

Work Rights

Not specified

Tailored Resume

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