Site Reliability Engineer (AI)

Location: Hybrid in San Francisco, Montreal, New York, Seattle, or Toronto; remote work is also listed.

Salary: $165,000–$330,000 per year, plus equity.

Company

Baseten provides inference infrastructure and developer tooling that help AI companies bring machine learning models into production.

What you will do

• Build and maintain scalable infrastructure for deploying and operating machine learning models.
• Establish infrastructure standards and best practices for reliability and performance.
• Automate deployment processes, including CI/CD pipeline management.
• Own products and projects end-to-end, from specification through execution.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Mentor junior engineers and contribute to organizational knowledge sharing.

Requirements

• Bachelor’s, master’s, or Ph.D. degree in computer science, engineering, mathematics, or a related field.
• Extensive experience with Kubernetes and scalable infrastructure.
• Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, CircleCI, or Jenkins.
• Ability to own projects from specification through execution and make sound technical trade-offs.
• Ability to work in the listed hybrid or remote locations.

Nice to have

• Open-source observability experience with Prometheus, ELK, Grafana, or OpenTelemetry.
• Interest in learning about machine learning; prior machine learning experience is not required.

Culture & Benefits

• Competitive compensation with meaningful equity.
• Flexible paid time off and a company-wide winter break.
• Paid parental leave and a fertility and family-building stipend.
• U.S. employees receive company-paid medical, dental, and vision insurance for themselves and dependents.
• U.S. employees have access to a company-facilitated 401(k).
• Exposure to a range of machine learning startups and related learning opportunities.