Anthropic

Staff+ Software Engineer, Safeguards ML Infrastructure

San Francisco, CA · Staff+

H1B sponsorship available$320k-$485kDetected 7 days ago

PythonRustDistributed SystemsBackend DevelopmentAWSGCPCloud PlatformsMachine LearningNLPLLMsIncident ResponseLogisticsResearchCommunication

About the role

We're growing the team and looking for Software Engineers with deep experience owning production infrastructure at scale.
The ideal candidate has built and operated large-scale distributed systems under real production pressure and built platforms, tooling, and infrastructure that other engineers depend on.
What we prioritize is distributed backend systems expertise and a track record of ownership over the production environment.

Design, build, and deploy backend services that are critical safety pieces on the token sampling and generation path.
Own and operate the production serving infrastructure for those services across multiple deployment platforms (1P, AWS Bedrock, GCP Vertex).
Define and maintain SLOs, build observability and alerting systems, and lead incident response for infrastructure on the critical path of every Claude request
Reduce oncall and onduty toil by building automation, tooling, and self-serve workflows that minimize manual operations. Be the first user of the systems you build, running them for real workloads yourself before other teams depend on them.
Build and maintain a safety registry with full provenance -- tracking what is running in production, on which model, and when and by whom it was deployed.
Implement automated post-deploy validation to ensure correctness is consistent across platforms.
Have designed, built, and operated high QPS systems at global scale.
Experience building deployment and rollout systems with canary analysis, automated validation, or progressive rollout controls.

Years of experience required will correlate with the internal job level requirements for the position
Familiarity with ML research or transformer architectures is not required -- you will learn that on the job.
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements.
Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

However, we aren't able to successfully sponsor visas for every role and every candidate.
But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We do sponsor visas!

This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.