// For Employers
NeuralHire runs technical search for ML engineering, MLOps, and applied research roles. We screen for people who have shipped models to production, not just published papers, and we bring you a shortlist you can move on in days.
Median time to offer
19 days
Process
You will know exactly where every requisition stands, and exactly who we are talking to on your behalf.
A 45 minute intake call with the hiring manager. We nail down leveling, stack, and the actual problem the hire will own, not a generic job description.
We reach candidates through our own network of engineers, research alumni lists, and targeted outbound. No mass job board blasts.
Technical screen, take-home or pairing exercise scoped to your stack, and a systems design conversation. You receive a written scorecard, not a résumé.
We coordinate final interviews, help calibrate the offer against current market data, and stay involved through the first day.
What's included
A
We benchmark the role against current comp and title data so you're not competing against your own job posting.
B
Model evaluation, MLOps, and infra-heavy roles are screened by engineers who have worked in those stacks, not generalist recruiters.
C
Research lab alumni lists, Kaggle community contacts, and referral chains from placed candidates feed most of our pipeline.
D
We build the systems design prompts and rubrics for your panel so every interviewer scores against the same bar.
E
We handle back and forth on comp, start date, and relocation so your hiring manager stays out of the negotiation.
F
If a placed hire leaves inside 90 days, we run the search again at no additional fee.
500+
ML placements made
19
days, median time to offer
92%
of shortlisted candidates pass client tech bar
14
industries with active searches
Ready to hire
Book a 30 minute call and we'll tell you honestly whether we can staff the role, and how fast.