Staff+ Site Reliability Engineer (Safeguards ML Infra)

Location: Remote-friendly, with travel required and at least 25% office attendance. Offices are in San Francisco, Seattle, and New York City, United States.

Annual salary: $320,000–$485,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial.

What you will do

• Lead model-release launches by configuring and verifying safeguards and acting as the safeguards point of contact during release windows.
• Deploy new safety classifiers from research, including canary rollouts, post-deployment validation, and discrepancy investigation.
• Verify safeguards across first-party infrastructure, AWS Bedrock, GCP Vertex, and other deployment platforms while eliminating configuration drift.
• Convert launch runbooks and manual checks into tooling, continuous validation, and repeatable self-service deployment pipelines.
• Build and maintain a safeguards registry recording production deployments, models, platforms, provenance, and deployment ownership.
• Participate in on-call rotations covering service incidents, model provisioning, and time-sensitive research and safety launches.

Requirements

• Experience owning production change management at scale, including deployment pipelines, configuration management, and canary analysis.
• Experience leading high-stakes releases as a launch captain, incident commander, or release owner.
• Meaningful production on-call and incident-response experience, including postmortem-driven improvements.
• Hands-on experience deploying and operating AWS and GCP infrastructure at scale.
• Proficiency in Python.
• Bachelor’s degree or equivalent education, training, or relevant professional experience.

Nice to have

• 8+ years of industry software engineering or site reliability engineering experience.
• Experience reducing operational toil and moving teams from manual deployment processes to self-service pipelines.
• Experience running launch or production-readiness reviews across multiple teams.
• Familiarity with LLM inference systems and transformer-based model operations.
• Rust experience.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business teams.
• Flexible working hours and a collaborative office environment.
• Competitive compensation, equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, subject to role and candidate eligibility.