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AnthropicFast-track your ML job hunt :
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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
Application
View listing at origin and apply!
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