Staff Platform Engineer — Review Tooling for Safer AI

Anthropic

New York (NY)

Hybrid

USD 320,000 - 485,000

Full time

14 days+

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Benefits offered by this job

Equity donation matching
Generous vacation
Parental leave
Flexible hours
Office space in San Francisco

Job summary

Anthropic in San Francisco is seeking engineers for the Review Tooling team to build internal tools used to investigate harms and enforce policies across platforms. You’ll own the tooling and platform underneath, including data analysis, privacy-preserving primitives, and a sandbox for new interfaces.

You will partner with policy, operations, data science, legal and privacy teams to ensure enforcement systems are effective, accurate, and trustworthy.

Qualifications

  • Bachelor’s degree or equivalent education
  • Experience in full‑stack or platform engineering architecture discussions
  • Experience shipping internal tools used by operational users
  • Experience with cross‑functional partners (policy, legal, operations)
  • Strong communication and ability to explain tradeoffs to non‑technical stakeholders
  • Concern for societal impacts of AI and safety

Responsibilities

  • Build investigation, review, and enforcement tooling for multiple platform surfaces
  • Develop the platform layer of reusable APIs, storage and backend services
  • Deploy tooling across clouds with consistent pipelines, tests, observability
  • Scale review through automation and Claude‑driven workflows
  • Collaborate with policy, operations, legal, privacy and data science to reduce handling time
  • Instrument tooling with metrics on queue health and decision quality

Skills

Full-stack engineering
Internal tools
Cross-functional collaboration
Communication skills
AI safety & ethics

Education

Bachelor's degree or equivalent

Job description

Anthropic in San Francisco is seeking engineers for the Review Tooling team to build internal tools used to investigate harms and enforce policies across platforms. You’ll own the tooling and platform underneath, including data analysis, privacy-preserving primitives, and a sandbox for new interfaces.

You will partner with policy, operations, data science, legal and privacy teams to ensure enforcement systems are effective, accurate, and trustworthy.

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