Solution · Research & AI

Find the researcher whose work says more than their title.

Use publications, repositories, research artifacts, project evidence, and adjacent technical titles to find hard-to-classify AI talent.

Example role brief

Applied AI researcher with public work on inference systems, model serving, or distributed training.

Requirementskept explicit
Discovery expansionkept separate
Evidence gapskept visible
The sourcing problem

AI and research sourcing that follows the work, not just the résumé title.

The strongest AI candidates may sit across research engineering, ML systems, infrastructure, applied science, or open-source communities. Conventional titles alone miss important evidence.

Role intelligence

Separate hiring truth from search recall.

Discovery expansion should help you find more relevant people without silently becoming a new hiring requirement.

Hiring requirements
Research or engineering problem area
Required technical depth
Relevant systems, methods, or model experience
Publication, project, or production expectations when truly required
Discovery expansion
Research Engineer and ML Systems variants
Publication topics and research artifacts
Repositories and open-source contributions
Inference, training, serving, and infrastructure terminology
Source plan

Capability is stated before the search runs.

01Executable

Open research graph

Supported publication and research sources can return public scholarly evidence.

02Executable

GitHub and public technical work

Repository and project evidence can expand beyond conventional profile search.

03Provider optional

Licensed people data

Optional coverage layer when connected; it does not replace public evidence.

Evidence-first review

Know why a person surfaced.

Candidate relevance, verified facts, weak signals, contradictions, and missing evidence should remain distinguishable during review.

01

Artifact-aware discovery

Publications, repositories, and projects can create search paths conventional résumés do not expose.

02

Identity stays reviewable

Cross-source observations are not silently merged when identity remains uncertain.

03

Evidence survives ranking

Recruiters can inspect why each candidate surfaced and what is still missing.

Research & AI

Turn this market into a repeatable sourcing system.

Start with the role, keep source truth visible, inspect the evidence, and let approved recruiter feedback improve the next pass.