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AI researcher CV template

A research CV is judged the way a paper is: contribution first, venue named, claims verifiable. This template sets publications as proper hanging-indent citations, carries Google Scholar and ORCID in the contact line, and keeps the LaTeX register — while staying one parseable column for the industry-lab screening software your CV will also meet.

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Built for

  • ✓Research scientists applying to industry AI labs in the US and UK
  • ✓Postdocs and PhD graduates moving from academia to applied research
  • ✓Reviewers and workshop organisers who need the one-page version

What you get

  • ✓Live on-page editing — click any text and type, paginated like the final PDF
  • ✓Selectable-text PDF export with clickable email and portfolio links
  • ✓AI import: upload your old resume PDF and land in this template, editable
  • ✓Scored 91/100 — interview-ready against the 30 published rules, measured by exporting this exact template. Certified: we only badge templates at 90 or above, a stricter bar than the 85 our checker calls interview-ready, so the design leaves headroom for your own content.
Dr. Fraser Langley
AI Researcher — Reasoning & Alignment
fraser.langley@example.com·+44 7700 900523·London, UK·scholar.google.com/citations?user=emarchetti·orcid.org/0000-0002-1825-0097
Summary

Research scientist working on reasoning and alignment of large models — 11 publications (4 first-author, 2 spotlights), reviewer for NeurIPS and ICLR, and a habit of turning negative results into well-cited papers.

Experience
Research Scientist, Aurora Labs
10/2023 – Present
  • Led the process-reward research line — verifier-guided decoding cut reasoning-benchmark error 18% at equal compute
  • Won an ICLR 2026 spotlight (first author); the method now runs in the lab's production evaluation stack
  • Designed the chain-of-thought faithfulness eval suite, built with the safety team, now gating all model releases
  • Built the distributed sweep harness for reward-model training (JAX, 512 TPU cores) — iteration time down 40%
Postdoctoral Researcher, University of Cambridge, MLG
09/2021 – 09/2023
  • Published 5 papers on uncertainty in sequence models (NeurIPS ×2, ICML, JMLR, TMLR)
  • Supervised 3 MPhil theses as co-supervisor; two produced first-author workshop papers
Selected Publications
Marchetti, E., et al. (2026). Process Rewards Improve Faithful Reasoning. ICLR 2026 (spotlight).
Marchetti, E., Nowak, P. (2024). Calibrated Uncertainty for Autoregressive Models. NeurIPS 2024.
Marchetti, E. (2023). When Chains of Thought Lie: Measuring Faithfulness. ICML 2023.
Full list: 11 papers, h-index 9 — Google Scholar profile linked above.
Talks & Service
Reviewer: NeurIPS 2023–2025, ICLR 2024–2026 — top-reviewer award, 2025.
Invited talks: NeurIPS SoLaR workshop (2025); Cambridge MLG seminar (2024).
Skills
ResearchLLM reasoning; RLHF & reward models; uncertainty; evals; experiment design
ToolingPyTorch; JAX; distributed training; Slurm; Weights & Biases
Education
Ph.D. Machine Learning — University of Cambridge2021
MSc Computational Statistics — University of Edinburgh2017

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Yes — your content and the design are stored separately, so switching templates re-flows the same content instantly and losslessly. Try every one of them.

Should publications go on the first page of an AI researcher CV?

For research roles, yes — a short Selected Publications section with 3–4 first-author entries and a one-line pointer to your full Google Scholar profile. Industry labs read it like a portfolio; the full list belongs on Scholar, not the CV.

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