Staff AI Reliability Engineer (SRE) for Scalable LLMs

Anthropic; San Francisco (CA); Hybrid; USD 325,000 - 485,000; Full time

Benefits offered by this job

Visa sponsorship available

Opportunity to work in dynamic teams

Flexible hybrid work policy

Job summary

Anthropic is seeking a Reliability Engineer to enhance the reliability of AI services in San Francisco. The role involves developing Service Level Objectives, designing monitoring systems, and leading incident responses. Ideal candidates have strong backgrounds in distributed systems or site reliability engineering, excellent communication skills, and are comfortable collaborating across teams. Salary ranges from $325,000 to $485,000, and the position requires a Bachelor's degree or similar experience.

Qualifications

• Strong reliability-focused background in software engineering or SRE roles.
• Excellent at building relationships across teams to enhance reliability.
• Comfortable addressing incidents in unfamiliar systems.

Responsibilities

• Develop Service Level Objectives for language model serving systems.
• Design monitoring systems across the token path.
• Lead incident response for critical AI services.

Skills

Strong distributed systems knowledge

Excellent communication skills

Ability to collaborate across teams

Experience with large-scale systems

Education

Bachelor’s degree or equivalent

Tools

ML hardware accelerators (GPUs, TPUs)

Observability tools

Job description

Anthropic is seeking a Reliability Engineer to enhance the reliability of AI services in San Francisco. The role involves developing Service Level Objectives, designing monitoring systems, and leading incident responses. Ideal candidates have strong backgrounds in distributed systems or site reliability engineering, excellent communication skills, and are comfortable collaborating across teams. Salary ranges from $325,000 to $485,000, and the position requires a Bachelor's degree or similar experience.