Linear AI Research CV

Linear AI Research CV is designed for professionals whose strongest evidence lives in papers, talks, and experimental results. The clean structure keeps attention on research contributions, with a prominent summary, publication list, and project evidence arranged in a logical order. It is suitable for candidates applying to research labs, frontier model teams, or university-linked innovation groups.

The template includes a dedicated area for publications, where you can list journals, workshops, conference proceedings, and preprints in a consistent citation style. Another section supports research projects with hypothesis, method, results, and next steps, which helps hiring managers understand both rigor and originality. The format remains ATS-friendly by using standard headings, plain text fields, and minimal visual distractions.

Use this CV if you are presenting a portfolio that bridges theory and implementation. It works well for senior researchers, postdocs, and AI specialists who need to show grant work, collaboration, and reproducible results. Add a compact skills panel for frameworks and mathematical foundations, then use the education section to highlight thesis topics or advisor names. The Google Docs format makes it easy to collaborate, revise, and export for different institutions or employers.