Member of Technical Staff - Cybersecurity Capabilities
Preference Model · San Francisco, California, United States
Pay
$180k–300k
Setting
On-site
We're hiring experienced Security/Cybersecurity Engineers to design and build reinforcement learning environments that teach LLMs to reason about and solve real-world cybersecurity problems, such as finding vulnerabilities in production codebases to generating working exploits and patching them safely. You'll join a small, high-ownership team and contribute directly to the data layer that powers frontier LLM capability in security.
Listed by Preference Model for a position based in the United States. Employers on this board attest they are hiring domestically.