Staff+ Site Reliability Engineer (Safeguards ML Infra)

Location: San Francisco, CA, United States. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time; some roles may require more office time.

Annual salary: $320,000–$485,000 USD.

Company

Anthropic develops reliable, interpretable, and steerable AI systems focused on safety and societal benefit.

What you will do

• Lead model-release launches by configuring and verifying safeguards and serving as the safeguards 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, manual checks, and one-off deployments into automated tooling, continuous validation, and repeatable pipelines.
• Build and maintain a safeguards registry recording production configuration, models, platforms, deployment timing, and ownership.
• Participate in on-call rotations covering 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 process and tooling improvements.
• Hands-on experience operating AWS and GCP at scale.
• Proficiency in Python.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

• 8+ years of software engineering or site reliability engineering experience.
• Experience reducing operational toil and moving teams from manual deployments 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

• Flexible working hours and a collaborative office environment.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave.
• Visa sponsorship is available, with reasonable efforts and immigration-lawyer support for candidates receiving an offer.
• Collaborative research culture focused on safe, trustworthy AI.