Hiring your first ML engineer: what actually matters
RAG Recruit Team·June 10, 2026·6 min read
Your founding ML engineer will define how your team ships models for years. The wrong hire delays product-market fit by quarters.
We look for three signals: production rigor (have they actually shipped a model that served real traffic?), research literacy (can they read a paper on Friday and prototype it Monday?), and product instinct (do they obsess over user outcomes, not just leaderboard metrics?).
Avoid optimizing purely for pedigree. The best founding ML engineers are often operators with one strong production system under their belt — not a PhD with five papers and zero deploys.