Applied Cybersecurity AI Researcher

Job Overview

Responsibilities

Requirements

Benefits

Pay

Schedule

The ideal candidate can chase real bugs, validate exploitability, write production-quality Python, and turn exploratory research into repeatable security capabilities.

• Develop AI-assisted vulnerability discovery workflows for source code, binaries, networks, and live systems.
• Build and improve Clearwing's source-code hunting, network pen-testing, N-day exploit, reverse engineering, and validation pipelines.
• Design agentic workflows for reconnaissance, static analysis, dynamic testing, exploit development, patch validation, and reporting.
• Conduct authorized live testing against networks, services, containers, lab targets, and operational environments.
• Develop and validate proof-of-concept exploits in controlled, authorized settings.
• Develop evaluation harnesses for vulnerability discovery quality, false positives, exploitability, reproducibility, and model/tool performance.
• Improve safety, authorization, auditability, guardrails, and human-in-the-loop controls for dual-use cybersecurity capabilities.
• Work with AI researchers and engineers to improve prompts, tools, agent loops, memory systems, scoring systems, and model-routing strategies.
• Produce clear technical reports with evidence, reproduction steps, impact analysis, and remediation guidance.

You'll help build Clearwing: an AI-native cybersecurity system for autonomous vulnerability discovery, exploit validation, pen-testing, reverse engineering, and security reporting.

3+ years of hands-on cybersecurity experience in vulnerability research, penetration testing, exploit development, reverse engineering, or security engineering.

• Practical experience with at least two of: Static analysis, Dynamic analysis, Binary exploitation, Web application security, Network penetration testing, Cloud/container security, Malware analysis or reverse engineering, Detection engineering.
• Strong Python skills and comfort building automation around security tools.
• Familiarity with Linux, Docker, Kali/security tooling, Git, CI, and shell workflows.
• Experience working with LLMs, agents, prompt engineering, evals, or AI-assisted security workflows.
• Clear judgment around authorization, responsible disclosure, and dual-use security tooling.

Comprehensive benefits package, including health, dental, and vision insurance, as well as retirement savings plans.

Opportunities for growth and professional development.

A collaborative and supportive company culture that values diversity and inclusion.

Access to cutting-edge technology and resources for research and development.

Career path and professional development opportunities.

Flexible work arrangements.

Professional development and training programs.

Healthcare and wellness programs.

Retirement savings plans.

Equity compensation.

Base salary range: $180,000 - $200,000 (commensurate with experience).