LinkedIn profile keyword optimization for AI/ML recruiter discoverability #395
Description
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