About the job
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. 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
Qualifications
Minimum
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
Preferred
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