Member of Technical Staff - Research, Cyber

The Mission: Benchmarking the Future of Secure AI

In this role, you will move beyond just using AI to actually defining how the industry measures its capabilities. You will design challenging, real-world cybersecurity evaluations that test the limits of foundation models from the world's leading labs. Your work will set the standard for how financial giants and AI developers trust LLMs with critical security infrastructure.

Modern Tech & Vibe Coding Workflow

• Core Stack: A Python-heavy environment using Django and React, which is highly compatible with AI-assisted code generation and rapid prototyping.
• Cloud Infrastructure: Deep work with AWS and CDK to scale evaluation environments.
• AI Integration: This isn't a traditional coding job; it's a role for power users who already use LLMs for vulnerability research and want to push those tools to their breaking point.

Why Join This Team?

Joining this Series A team in San Francisco means working alongside a talent-dense group of Stanford PhDs and former elite quants. You will have the autonomy to lead research projects and publish findings that influence the entire AI ecosystem. The company offers an intense, high-velocity culture with significant ownership, housing stipends for local SF residents, and the chance to work on the front lines of generative AI security.