Cogent Security
AI Research Engineer
About this role
Cogent Security seeks an AI Research Engineer to advance the frontier of automated reasoning and AI-driven code analysis for cybersecurity. You'll conduct original research, prototype novel solutions, and translate breakthroughs into the company's AI platform while publishing findings at top-tier venues.
What you'll do
- Conduct original research in AI and automated code reasoning, including static/dynamic analysis and formal verification
- Invent and prototype novel AI techniques for code reasoning and generation problems
- 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 integrate research into core platform
- Monitor cutting-edge ML and program analysis developments and propose relevant integrations
What they're looking for
- Automated reasoning (static/dynamic analysis, formal verification, fuzzing)
- AI/ML development and application to code reasoning or generation
- Program analysis and code understanding
- Research methodology and academic writing
- Self-directed problem-solving and proactive execution
- Cybersecurity knowledge (bonus)
- Cloud Infrastructure as Code tools like Terraform or Pulumi (bonus)
- Software prototyping and experimentation
Benefits
- Work on frontier AI research with real-world impact in cybersecurity
- Collaborate with top talent from Stanford, DeepMind, Scale AI, and other leading organizations
- Opportunity to publish research at top-tier venues
- Base salary $100,000 - $300,000 annually (California)
- Equity and variable compensation eligible
- Mission-driven work securing critical infrastructure
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Cogent Security
Cogent Security builds an AI-powered cybersecurity platform that leverages automated reasoning and AI-driven code analysis to help enterprises solve complex security challenges. The company is hiring AI Research Engineers to advance its foundational AI capabilities and Solutions Engineers to drive technical sales and customer implementations.
View all jobs at Cogent SecurityLikely interview questions
- Walk us through a research project where you applied AI/ML techniques to code reasoning or code generation. What was novel about your approach, and how did you validate it?
- Describe your experience with automated reasoning tools — static/dynamic analysis, formal verification, or fuzzing. How have you used them to solve real problems?