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Manager, AI System Infrastructure and MLOps Engineering image - Rise Careers
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Manager, AI System Infrastructure and MLOps Engineering

The Chan Zuckerberg Initiative aims to tackle society’s challenges through innovative technology. We seek a hands-on Engineering Manager for AI System Infrastructure and MLOps to lead a team focused on enabling groundbreaking research in biomedical sciences.

Skills

  • Hands-on AI/ML platform operations experience
  • MLOps experience with GPU clusters in Kubernetes
  • Strong coding skills in systems languages
  • Proficiency with cloud services (AWS, GCP, Azure)
  • Knowledge of Linux systems optimization

Responsibilities

  • Build and lead the MLOps and Systems Infrastructure Engineering team
  • Drive MLOps processes and ensure stability of GPU Cloud computing systems
  • Own on-call efforts and build alerting and monitoring for AI platform
  • Manage a variety of AI/ML development infrastructure projects
  • Mentor and coach team members

Education

  • BS, MS, or PhD in Computer Science or a related field

Benefits

  • 100% match on 401(k) contributions
  • Annual funding for personal use
  • Paid time off for volunteer activities
  • Funding for family-forming benefits
  • Relocation support for Bay Area moves
To read the complete job description, please click on the ‘Apply’ button
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CEO of Chan Zuckerberg Initiative
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Priscilla Chan
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A Future for Everyone. Our mission is to help build a more inclusive, just, and healthy future for everyone.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$214,000/yr - $321,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
August 2, 2024

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