Staff+ Site Reliability Engineer, Safeguards ML Infra
$320k - $485k • Remote • San Francisco, CA
Posted 1mo ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Infrastructure Engineer
About the job
The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that powers Claude's safety systems. This role is central to ensuring safeguards are properly configured and deployed for model launches, and owning the off-cycle deployment of new safety classifiers. The team ensures safety on the token generation path and manages the operational aspects of deploying these systems into production, including standing up safeguards for new model launches and deploying new safety classifiers. Every frontier model release goes through this team, which configures, verifies, and rolls out safeguards across all Claude platforms and leads incident response when issues arise. The goal is to automate manual checks into continuous validation and evolve launch runbooks into robust tooling.
Responsibilities
- Serve as launch captain for model releases, configuring and verifying safeguards, and acting as the point of contact during release windows.
- Own the deployment of new safety classifiers, including canarying rollouts, running post-deploy validations, and investigating discrepancies.
- Verify and ensure the correct safeguards are active on the appropriate models across all deployment platforms, detecting and resolving configuration drift.
- Automate operational tasks by transforming launch runbooks into tooling, manual checks into continuous validation, and one-off deployments into repeatable pipelines.
- Develop and maintain a safeguards registry with complete provenance information.
- Participate in on-call rotations for service incidents, model provisioning, and time-sensitive launches.
Requirements
- Experience owning production change management at scale, including deploy pipelines, config management systems, and canary analysis.
- Experience running high-stakes releases and serving in critical path roles like launch captain or incident commander.
- Meaningful on-call experience for production systems, including incident response and postmortem-driven improvements.
- Proven ability to automate processes and improve tooling to reduce operational toil.
- Hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale.
- Proficiency in Python.
- Bachelor's degree or equivalent combination of education, training, and experience.
Benefits
- Annual compensation range: $320,000 - $485,000 USD