Anthropic
Applied Safety Research Engineer
Not specifiedunknownUSD 320,000–405,000
Skills
PythonLLMs (Large Language Models)Data pipelinesData analysisRed teaming, adversarial testing, or jailbreak research on AI systemsBuilding or contributing to LLM evaluation frameworks or benchmarksTrust and safety, content moderation, or abuse detection systemsSynthetic data generation or data augmentationDistributed systems or large-scale data processingPrompt engineering or LLM application development
About the role
Applied Safety Research Engineer, Safeguards About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a research-oriented engineer to develop the methods that make our safety evaluations representative, robust, and informative. You'll work on questions like: How do we measure whether a model is safe? How do we create evaluations that reflect real-world usage rather than synthetic benchmarks? How do we know our graders are accurate? This role sits at the intersection of applied ML research and engineering. You'll design experiments to improve how we evaluate model behavior, then ship those methods into pipelines that inform model training and deployment decisions. Your work wil
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