Private, domain-specific benchmarks in legal, tax, and finance. Backed by a16z and Pear VC.
About the role
We are looking for an exceptional researcher to design and build the next generation of AI benchmarks for cybersecurity. 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Cybersecurity experience: Hands-on work in security, e.g., as a security engineer, penetration tester, red teamer or vulnerability researcher. You may have found and reported vulnerabilities through bug bounty programs or CVEs
- Systems depth: Strong grounding in operating systems, cloud infrastructure and networking
- Interest in benchmarking: You care about measuring capability rigorously, not just demonstrating it. Ideally, you've built cyber evals, CTF challenges or security benchmarks before
- AI-forward: You already use LLMs in your security work and want to work with them every day
- Communication : Ability to clearly communicate complex research ideas to both technical and non-technical audiences
- Collaboration : Experience working in research teams and integrating feedback
More about this role
Note: This is an application for those specifically interested in building benchmarks to assess cyber capabilities. If you are interested in other domains, please see our general research posting . We encourage you to only apply to one research posting.
We are looking for an exceptional researcher to design and build the next generation of AI benchmarks for cybersecurity. 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 that assess real-world capabilities and risks of 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...
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