NeuralHire

Specialist AI/ML Recruitment

Hire the engineers training tomorrow's models.

We recruit machine learning engineers, MLOps specialists and applied researchers for teams shipping production AI, not slide decks. Twelve years placing technical talent, the last six focused entirely on ML.

machine learning engineer reviewing model metrics on a laptop in a startup office

14 days

avg. time to first slate

Recent placements at

Latch Robotics Orbital Health Ferrous Labs Sable Analytics Kestrel AI

340+

ML roles filled since 2019

92%

offer-accept rate on our slates

48 hrs

to first warm intro

6 yrs

focused only on ML search

Process

How a search runs

01

Scope the role

An intake call with the hiring manager to set a technical rubric: stack, seniority, what a strong first 90 days looks like.

02

Source and screen

Candidates come from our own network of ML practitioners, then get a technical screen run by former engineers, not generalist recruiters.

03

Deliver a slate

Three to five vetted candidates, with notes on strengths and comp expectations, usually inside two weeks of kickoff.

04

Close the hire

We handle comp benchmarking, reference checks and offer negotiation so the deal doesn't stall in the final week.

For Employers

Build the team that ships the model

  • Roles: ML engineer, MLOps, applied researcher, data platform, AI product.
  • Every screen is run by someone who has shipped a model to production.
  • Flat placement fee, replacement guarantee if the hire doesn't work out inside 90 days.
Start a search →

For Candidates

Get in front of teams actually building

  • We only work with companies that have a live production model, not a research memo.
  • One conversation with us gets you considered for every open search, no repeat resumes.
  • Comp benchmarking and offer coaching included, no cost to candidates ever.
See open roles →

Ready to fill the gap on your ML team?

Tell us what you're building and who you need. We'll have a shortlist moving within two weeks.