Staff+ Researcher, Cybersecurity Products
Research and evaluate frontier AI capabilities for cybersecurity, rapidly prototyping tools, designing rigorous benchmarks, and helping operationalize reliable capabilities into products. Requires deep security expertise, strong technical communication, and at least seven years of relevant experience.
About the job
Responsibilities
- Prototype rapidly to define the AI frontier for cybersecurity work.
- Design evaluations that measure model performance on work security teams actually do.
- Build datasets, harnesses, and scoring systems for those evaluations.
- Engage with the cybersecurity community to help define where AI can make the most impact.
- Work with engineers and researchers to operationalize promising capabilities into reliable customer products.
- Track how model capabilities for security are changing and what that means for future product development.
- Share findings that inform product direction and partner with product leadership on priorities.
Requirements
- Deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security.
- Experience building AI-powered tools or capabilities for security work.
- Ability to move quickly from an idea to a working prototype and evaluate whether it holds up.
- Comfortable designing rigorous evaluations and interpreting results honestly.
- Strong technical writing and communication skills.
- 7+ years of experience in security research, security engineering, or a closely related field.
- Bachelor's degree or an equivalent combination of education, training, and experience in a relevant field.
Nice-to-haves
- Published research, CTF results, CVEs, or open-source security tooling.
- Experience with model evaluation, benchmarking, or red teaming.
- Experience building agentic applications.
- Familiarity with the safety considerations of AI in security contexts.
Compensation and Benefits
- Annual salary: $405,000–$485,000 USD.
- Hybrid policy requiring staff to work from an office at least 25% of the time; some roles may require more office time.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
- Visa sponsorship is available for some roles and candidates.
Skills
Cybersecurity, Vulnerability Research, Exploit Development, Reverse Engineering, Malware Analysis, Incident Response, Offensive Security, Model Evaluation, Benchmarking, Red Teaming, Agentic Applications, Python, Dataset Development, Prototyping, Ai Safety
Similar jobs
AI Research jobs
Shield AI
San Mateo, CA
Leads design, implementation, integration, and field validation of tactical autonomy software for unmanned systems and multi-agent missions. Requires extensive autonomy or robotics experience, strong C++ and Python skills, and the ability to obtain a SECRET clearance.
Shield AI
Washington, DCLeads technical direction and develops maritime autonomy capabilities for unmanned surface and underwater vehicles, including motion planning, localization, safe behaviors, and heterogeneous multi-agent collaboration. Requires deep robotics and unmanned-systems experience, strong C++/Python skills, and senior technical leadership.
Upstart
United States
Evaluates model and Generative AI risks across Upstart Bank’s model inventory, conducting risk assessments, monitoring reviews, quantitative analyses, and governance activities. Requires a quantitative master’s degree, 4+ years of relevant experience, and coding skills in Python, R, or similar languages.
Order.co
United States
Own the architecture, delivery, evaluation, and production operations of AI capabilities embedded in procurement and finance workflows. The role requires 10+ years in applied AI or machine learning, deep LLM and agent expertise, and experience delivering measurable production outcomes.
Anthropic
San Francisco, CAApplied AI Research Engineer who tests model capabilities, builds demos and evaluations, supports strategic customer implementations, and translates field insights into product and research direction. Requires 6+ years of technical experience, programming proficiency, LLM development experience, and strong communication skills.