LinkedIn profile keyword optimization for AI/ML recruiter discoverability

[adrianwedd]

Context

AI Jobs Australia LinkedIn Profile Optimiser scored the profile at 7% optimization with only 2 AI/ML keywords detected across all sections.

Key Findings

• Headline: 20/100 (no role detected, no value prop, 1 keyword)
• About section: 2% keyword coverage
• Experience section: 1% keyword coverage
• Good action verbs detected: Led, Built, Developed, Automated, Pioneered

Actions Taken (2026-03-23)

Updated job-search/linkedin-profile.md:

• Headline: Changed from pipe-delimited keyword list to role-first with value prop: "AI Safety Researcher & Developer | Red-Teaming LLMs & Agentic AI | Building evaluation frameworks that catch what benchmarks miss | Open to Remote"
• About section: Expanded keyword line from 10 → 24 terms, adding: PyTorch, TensorFlow, Deep Learning, Machine Learning, Generative AI, NLP, MLOps, Docker, Kubernetes, AWS, Azure, GCP, Large Language Models (LLMs), RAG

Remaining Work

• Apply updated headline and keyword line to actual LinkedIn profile
• Re-run LinkedIn Profile Optimiser to measure improvement
• Consider adding quantified achievements to experience descriptions

References

• Tool: https://www.aijobsaustralia.com.au/tools/ai-linkedin-profile-optimiser
• Salary Calculator estimated $265K-$345K for AI Researcher / Lead+Principal / Sydney