About Cogent

Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent’s "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.

 

To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.

 

Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.

 

We’re backed by Greylock and we’ve built a team with the best minds in applied AI. Our team is comprised of people from:

• Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo

• Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase

• World class cybersecurity experts from Wiz, Abnormal AI, Zscaler

• Preeminent research labs like Deepmind and SAIL

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