Research Scientist

Cogent Security

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

Qualifications

  • Extensive experience in automated reasoning, focusing on static/dynamic analysis and formal verification.
  • Proven expertise in AI/ML methods applied to code reasoning and generation.
  • MSc or PhD/DPhil in Computer Science or a related field.
  • Demonstrated impact via publications in top-tier conferences or significant professional artifacts.
  • Proactive and self-directed attitude towards identifying and solving problems.

Responsibilities

  • Drive original and impactful research in automated reasoning and AI-driven security.
  • Apply innovative AI techniques to solve real-world code reasoning challenges.
  • Develop significant tools or systems that impact Cogent and the broader community.
  • Design automated testing and fuzzing strategies to validate new systems.
  • Publish research findings in reputable conferences and journals.
  • Collaborate with engineering and product teams to integrate research outcomes into AI platforms.
  • Stay updated on ML, program analysis, and formal methods to influence Cogent's research direction.

Benefits

  • Flexible work environment emphasizing a balance of independent research and collaboration.
  • Opportunity to publish in leading conferences and journals, enhancing your academic reputation.
  • Access to cutting-edge technology and resources to support research initiatives.
  • Collaboration with a mission-driven team passionate about improving infrastructure safety.
Full Job Description
About the Role

Cogent Research is the applied AI lab at the heart of Cogent's mission. As a Research Scientist, you will drive foundational and applied research at the frontier of automated reasoning and AI-driven code analysis - producing work that is both scientifically rigorous and directly impactful in the real world.

We are looking for someone who thrives in ambiguity, invents novel solutions when existing ones fall short, and has the flexibility to change course when initial ideas don't pan out. If you have deep expertise in automated reasoning, a strong publication or artifact track record, and a passion for making the world's infrastructure safer, we want to hear from you.

What You'll Do & Achieve
  • Drive original, high-impact research in automated reasoning, code analysis, and AI-driven security, from early hypothesis through publication-quality results
  • Invent and apply novel AI techniques to challenges in code reasoning and code generation, advancing the state of the art
  • Develop significant research artifacts, tools, or systems that have real-world impact inside Cogent and in the broader research community
  • Design and execute automated testing and fuzzing strategies to validate systems under development
  • Publish findings at top-tier conferences and peer-reviewed journals
  • Collaborate with engineering and product teams to translate research into Cogent's core AI platform
  • Stay at the cutting edge of developments in ML, program analysis, and formal methods - and help shape Cogent's research direction
What You'll Bring
  • Extensive Experience in Automated Reasoning: Deep hands-on expertise in static/dynamic analysis, formal verification, and/or automated testing and fuzzing
  • AI Expertise: Proven experience developing or applying AI/ML techniques to code reasoning or code generation problems
  • Education: An MSc or PhD/DPhil in Computer Science or a closely related technical field
  • Proven Track Record: Demonstrated impact through publications at top-tier conferences, significant artifacts developed in a professional setting, or widely-adopted open-source contributions
  • Independence: A highly self-directed, proactive, and self-starting attitude - you identify problems, propose solutions, and drive them to completion
  • 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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