Talent & Recruiting jobs

Recruiting for AI teams means sourcing in the hardest market in software: every strong ML engineer is employed, contacted weekly, and vesting something somewhere. The recruiters who do well actually understand the roles — knowing why an inference engineer won't take a screen for an MLOps title saves everyone a month.

Research recruiting is its own specialty, sourced through papers, GitHub, and conference talks rather than LinkedIn keywords. Closing means beating counteroffers built from retention grants. Agency experience transfers, but embedded in-house roles dominate the postings, and recruiters with genuine ML literacy name their price.