Anthropic · San Francisco · Hybrid

Research Engineer, AI Observability

2/21/2026

Description

  • Design and implement AI-based monitoring systems for AI training and deployment
  • Extend and improve core frameworks for processing large volumes of unstructured text
  • Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
  • Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
  • Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest

Qualifications

  • Have 5+ years of research or software engineering experience, with meaningful exposure to ML systems
  • Are excited about the problem of scaling human oversight of AI systems
  • Are familiar with LLM application development and evaluation 
  • Enjoy building tools that other people use — you care about UX, reliability, and documentation
  • Thrive in collaborative, cross-functional environments
  • Experience with productionizing internal tools or building developer-facing platforms
  • Background in building monitoring or observability systems
  • Comfort with ambiguity — our team is small and growing, and you'll help define what we become

Benefits

$320,000 - $405,000 USD

Application

View listing at origin and apply!

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