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.

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.

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 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 that assess challenging real-world capabilities for cybersecurity

Conduct research to ensure our benchmarks are valid, reliable, and meaningful

Collaborate with foundation model labs and enterprise security teams to understand evolving evaluation needs

Analyze model performance across benchmarks and articulate results

Publish research findings and contribute to the broader security and evaluation research communities

Work closely with the infrastructure team to implement your benchmark designs at scale

Stay current with the latest developments in LLM cyber capabilities and evaluation methodologies

Requirements

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.

Location: We are an in-person team in San Francisco and will support relocation or transportation as needed.

Nice to haves

You've previously worked as a security engineer at a security company or on an in-house security team, and/or you have experience on an AI or ML team at a security company

Strong ties to the security community: CTF teams, conference talks, open-source security tools, or research collaborations, published security research, papers or well-read technical write-ups

What we offer

Highly competitive salary and meaningful ownership. Excellence is well rewarded.

Relocation and transportation support

Health/dental insurance coverage

Lunch and dinner provided, free snacks/coffee/drinks

Unlimited PTO

$1,500 housing stipend (within one-mile radius)

Collaborate with leading AI labs and work on the front lines of AI development and evaluations

Opportunity to publish and present your work

About us

Founding team: The core methodology behind this platform comes from NLP evaluation research we conducted at Stanford. We raised a $5M seed from some of the top institutional and angel investors in the valley. Our team has prior work experience at NVIDIA, Meta, Microsoft, Palantir and HRT. Collectively, we have over 300 citations in our published work. Our early team includes Stanford PhDs, ex-Jane Street quants, and the first designer at Snorkel.