The opportunity
Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline,…
What you'll do
Design, build, and operate the stores, pipelines, schemas, and APIs that: Safeguards' detection, evaluation, investigation, and review systems read from.
Build privacy-safe interfaces that allow ML training, evaluation, and: investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
Scale the distributed storage, ingestion, and processing systems operated by: Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
Collaborate with investigators, researchers, legal, privacy, and security: teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
Uphold a high operational bar by participating in the on-call rotation,: leading incident reviews, and continuously reducing manual operational overhead.
Lead through technical design by authoring foundational proposals and: conducting cross-team architectural reviews.
What they're looking for
- Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
- + years of experience as a software engineer, and a Bachelor's degree in: Computer Science, Software Engineering or comparable professional experience
- Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
- Experience with data governance requirements in a regulated or high-sensitivity domain
- Fluency with agentic coding tools such as Claude Code
