AI Research Engineer

Cogent Security

$100K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI and automated reasoning techniques
  • Demonstrated ability in static/dynamic analysis and formal verification
  • Proven track record of research publications in recognized conferences or journals
  • Degree in Computer Science or related technical field (BS, MS, PhD)
  • Highly self-directed with a proactive mindset
  • Strong alignment with Cogent's mission to enhance infrastructure safety

Responsibilities

  • Conduct original AI research focusing on automated code reasoning
  • Develop and implement innovative AI techniques for code analysis
  • Design automated testing and fuzzing strategies for system validation
  • Adapt and iterate solutions in the face of ambiguity
  • Publish research findings in top-tier conferences and journals
  • Collaborate with engineering teams to integrate research into products
  • Stay updated on advancements in ML and program analysis

Benefits

  • Opportunity to work at the frontier of AI and code reasoning
  • Flexible work environment with autonomy in role
  • Possibility to contribute to impactful infrastructure safety initiatives
  • Engagement with the scientific community through publications
  • Collaboration with engineering and product teams to drive technology forward
Full Job Description
About the Role

Cogent Research is the applied AI lab at the heart of Cogent's mission. As an AI Research Engineer, you will work at the frontier of automated reasoning and AI-driven code analysis - inventing novel solutions, prototyping fast, and pivoting when first ideas don't pan out.

This is not a role for those who need a playbook. We are looking for someone who thrives in ambiguity, drives work proactively and independently, and is deeply aligned with Cogent's mission to make the world's infrastructure safer.

What You'll Do & Achieve
  • Conduct original research at the intersection of AI and automated code reasoning, advancing the state of the art in areas such as static/dynamic analysis, formal verification, and automated testing
  • Invent and apply novel AI techniques to challenges in code reasoning and code generation, from early hypothesis through working prototype
  • Design and execute automated testing and fuzzing strategies to validate and stress-test systems under development
  • Navigate ambiguity with a proactive mindset - adapt quickly when initial approaches don't pan out and iterate toward robust solutions
  • Publish research findings at top-tier conferences and peer-reviewed journals, contributing to the broader scientific community
  • Collaborate with engineering and product teams to translate research breakthroughs into Cogent's core AI platform
  • Stay on top of cutting-edge developments in ML and program analysis, and propose incorporating them into Cogent's systems where appropriate


What You'll Bring
  • Experience in Automated Reasoning: Hands-on experience with static/dynamic analysis, formal verification, and/or automated testing and fuzzing
  • AI Expertise: A track record of developing or applying AI/ML techniques to code reasoning or code generation problems
  • Research Publication: Demonstrated research output - papers accepted at recognized conferences or peer-reviewed journals
  • Education: Degree in Computer Science or a closely related technical field (BS, MS, or PhD)
  • Independence: A highly self-directed, proactive, and self-starting attitude - you identify problems, propose solutions, and execute without being told
  • Mission Alignment: A genuine passion for Cogent's mission and a belief that this work matters

Bonus Points For:
  • Experience in cybersecurity - knowledge of vulnerability classes, exploit techniques, or secure-by-design systems
  • Familiarity with Cloud Infrastructure as Code (IaC) - tools like Terraform, Pulumi, CDK, or equivalent


For California Based Applicants

The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

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