AI Research Engineer

About the Company

Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. Backed by Greylock, Cogent partners with Fortune 500 companies to secure complex production environments by blending frontier research with real-world execution.

Responsibilities

• Conduct original research at the intersection of AI and automated code reasoning, including static/dynamic analysis and formal verification
• Invent and apply novel AI techniques to challenges in code reasoning and code generation
• Design and execute automated testing and fuzzing strategies to validate systems
• Publish research findings at top-tier conferences and peer-reviewed journals
• Collaborate with engineering and product teams to translate research breakthroughs into the core AI platform
• Stay updated on cutting-edge developments in ML and program analysis

Requirements

• Experience in Automated Reasoning (static/dynamic analysis, formal verification, or automated testing/fuzzing)
• Track record of applying AI/ML techniques to code reasoning or code generation
• Demonstrated research output via papers in recognized conferences or journals
• Degree in Computer Science or a closely related technical field
• Highly self-directed and proactive mindset

Preferred Qualifications

• Experience in cybersecurity, including vulnerability classes or exploit techniques
• Familiarity with Cloud Infrastructure as Code (IaC) tools like Terraform, Pulumi, or CDK