MTS - Research (Cybersecurity)
remote
via Ashby
About this role
Collinear AI builds environments, tasks, and evaluations that help frontier AI models improve at real work. We are growing our cybersecurity team and looking for someone who can turn practical security problems into environments where AI agents can investigate, act, and learn.
We recently released CWE-bench https://cwe-bench.com/, a defensive cybersecurity benchmark with 100 held-out audit-and-patch tasks across 54 weakness types. Agents must find and fix vulnerabilities in real codebases, with checks that confirm the vulnerability is resolved and existing functionality still works. You will help build what comes next: richer cybersecurity environments, realistic tasks, and reliable ways to measure whether agents succeed.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: typescript, python, java, go, c++…
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible. We factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
typescriptpythonjavagoc++gitpenetration testing