AI Research Engineer
Cogent Security3 months ago
Base Salary
$100k - $300k/yr
Responsibilities
- Conduct original research in AI, automated reasoning, and AI-driven code analysis.
- Develop and prototype novel AI techniques for code reasoning and code generation.
- Design automated testing and fuzzing strategies to validate and stress-test systems.
- Independently navigate ambiguity, adapt research approaches, and iterate toward robust solutions.
- Publish research findings at top-tier conferences and peer-reviewed journals.
- Collaborate with engineering and product teams to incorporate research breakthroughs into Cogent’s AI platform.
- Track developments in machine learning and program analysis and propose relevant improvements.
Requirements
- Hands-on experience with static analysis, dynamic analysis, formal verification, automated testing, and/or fuzzing.
- Demonstrated experience developing or applying AI/ML techniques to code reasoning or code generation.
- Research publications accepted at recognized conferences or peer-reviewed journals.
- Bachelor’s, master’s, or doctoral degree in computer science or a closely related technical field.
- Highly self-directed, proactive, and independent working style.
- Passion for Cogent’s mission and its cybersecurity objectives.
- Bonus: cybersecurity experience involving vulnerability classes, exploit techniques, or secure-by-design systems.
- Bonus: familiarity with infrastructure-as-code tools such as Terraform, Pulumi, or CDK.
Benefits
- For California-based applicants, the standard base salary range is $100,000–$300,000 annually.
- Certain roles may be eligible for variable compensation, equity, and benefits.
Tech Stack
Categories
AI Research
About Cogent Security
Cogent Security builds AI-native vulnerability management software for enterprise security teams, using autonomous agents to analyze large-scale environment data and prioritize and remediate risk. The privately held company, founded in 2024 and headquartered in San Francisco, partners with Fortune 500 organizations and is backed by Greylock Partners. Its model centers on selling an enterprise platform and post-sales solutions that deploy at production scale.