Research Engineer, AI Observability

As a Research Engineer on our team, you'll design and build systems that let AI analyze large, unstructured datasets , think tens or hundreds of thousands of conversations or documents , and produce structured, trustworthy insights.

This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.

You'll work across the full stack, from core analysis frameworks through user-facing apps and interfaces.

Responsibilities:

• 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

You May Be a Good Fit If You:

• Have 5+ years of 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

Strong Candidates May Also Have:

• 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

The annual compensation range for this role is $320,000-$405,000 USD.