Machine learning researchers are among the most discoverable technologists when their footprint links publications and open work to a clear identity. Making your subfield, results, and code legible ties the citation trail to you.
These are the terms that describe machine learning researchers in AI sourcing tools and assistant queries. Your public footprint should state the ones that are genuinely true of you, in plain language.
Lead with the role and one measurable outcome. Assistants surface specificity, so name the result, not just the title.
ML Researcher, NLP. 15 papers, a widely used open-source library, ex-frontier lab.
I research how language models reason. I publish in NLP, maintain an open-source library used across the field, and previously worked at a frontier lab.
A strong base, but connect them to a clear profile and any code so an assistant resolves the whole trail to one identity.
A lot. A used, public repository is corroborated, current proof of real ability.
Surfd scores how AI search sees you as a machine learning researcher, shows what the assistants say, and drafts the fixes. Free to start.
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