About NeuralHire

Recruiters who read papers,
not just resumes.

NeuralHire started in 2016 when two engineering leads got tired of watching generalist recruiters send them React developers for a computer vision role. We built a firm around the opposite idea: every consultant on our team has either shipped ML systems or spent years placing people who do. We know the difference between an applied scientist and an MLOps engineer, and we screen for it before a resume ever reaches your inbox.

Talk to Our Team See How We Work

recruiting team reviewing machine learning candidate profiles on a whiteboard

9 yrs

Exclusively in AI/ML hiring

340+

Engineers & researchers placed

Active partner companies

11d

Median time to first slate

92%

18-month retention rate

How we built our edge

Three things clients keep telling us matter

Domain depth

Our consultants have backgrounds in ML engineering, data science, or technical sourcing for research labs. We can talk through a transformer architecture or a training pipeline bottleneck, so candidates trust us and hiring managers don't have to re-explain the role.

A track record you can check

We've filled staff and principal roles at seed-stage labs and public companies alike, from computer vision at robotics startups to LLM infrastructure at fintech firms. Ask any client for a reference and we'll send three.

A network built over years, not scraped

Our candidate network is built from conference talks, open-source contributions, and referrals from people we've placed. It grows one relationship at a time, which is why passive candidates actually respond when we reach out.

Want to see if we're the right fit for your next AI hire?

A short call is enough for us to tell you if our network fits your role. No cost, no pressure to sign anything.