Site Reliability Engineer (AI)

TL;DR

Site Reliability Engineer (AI): Building and maintaining scalable infrastructure for deploying machine learning models with an accent on reliability, performance, and automation. Focus on establishing best practices, mentoring team members, and collaborating with cross-functional teams.

Location: Remote (US), San Francisco, New York

Compensation Range: $150K - $250K

Company

hirify.global powers inference for AI companies by providing flexible infrastructure and developer tooling.

What you will do

• Build and maintain scalable infrastructure for machine learning models.
• Establish standards for reliability and performance.
• Automate CI/CD processes.
• Own projects end-to-end, focusing on user empathy and execution.
• Collaborate with teams to translate requirements into solutions.
• Mentor junior team members and share knowledge.

Requirements

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related field.
• 5+ years of experience in a high-growth environment.
• Extensive experience with Kubernetes.
• Experience with infrastructure-as-code tools and CI/CD tooling.
• OSS observability experience is a plus.
• Open to learning about machine learning.

Benefits

• Competitive compensation with equity.
• 100% coverage of medical, dental, and vision insurance.
• Generous PTO policy including Winter Break.
• Paid parental leave.
• Company-facilitated 401(k).
• Exposure to various ML startups.