vals-ai · San Francisco
Skills: React, HTML/CSS, Python, AWS
ABOUT THE ROLE We are looking for an exceptional researcher to design and build the next generation of AI benchmarks for catching misaligned behavior in frontier models and agents, e.g., reward hacking, scheming, deception, loss of control, multi-agent safety, etc. You will create high-impact, challenging evaluations that push the boundaries of what we can measure in foundation models. This role is ideal for someone with deep research expertise who wants to see their work directly influence how the world evaluates AI systems. You will lead the design and development of novel benchmarks and infrastructure that help assess misalignment risks in LLMs. Our benchmarks shape how foundation models are developed and generative AI applications are built. We work with every major foundation model lab - along with leading financial institutions and the application-layer companies pushing the frontier forward. Our work has been featured by the Wall Street Journal, New York Times, Washington Post, and Bloomberg. We are building the standard for evaluating the ability of LLMs to perform real-world tasks. You will be at the forefront of defining what that standard looks like. WHAT YOU'LL DO - Design and develop novel, high-impact benchmarks and environments that assess real-world (mis)behavior, including reward hacking, scheming, deception and other misaligned behavior, in frontier models and agents (including multi-agent systems) - Conduct research to ensure our benchmarks are valid, reliable, and meaningful - Collaborate with foundation model labs and enterprises to understand evolving safety evaluation needs - Analyze model behavior across benchmarks and articulate results - Publish research findings and contribute to the broader safety and evaluation research communities - Stay current with the latest developments in LLM capabilities and alignment evaluation methodologies REQUIREMENTS - Safety experience: Substantial, hands-on work in safety evaluations, monitorability, schemi…
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