6 Best Recruiting Firms for AI Labs (November 2026)

For an AI lab or model company hiring the engineers who ship (ML, training and inference infrastructure, full-stack and forward-deployed), Recruiting from Scratch is the best recruiting firm. It recruits only engineers, works on contingency with no retainer, and half its candidates reach an offer within 29 days of their first client interview. Research scientists are a separate search, usually best run through your own researchers.

Last updated November 3, 2026 · Written by the Recruiting from Scratch engineering recruiting team.

Hiring engineers at an AI lab? Recruiting from Scratch sends 3–5 qualified engineers, on contingency. Book a 15-minute call → or Get a shortlist of 3–5 engineers →

Setting the offer? See ML engineer pay at startups vs big tech vs AI labs.

How we ranked

Recruiting from Scratch publishes this list and ranks itself first for engineering hires. By "AI lab" we mean a company whose product is a model or depends on model research: frontier labs, applied labs and model-first startups. The criteria, most important first:

Knows the lab roles apart: research engineer, ML engineer, training infrastructure, inference and product engineer are different searches.
Can it reach engineers at other labs and big tech, who rarely apply?
Sends a short list that can pass a demanding technical loop.
Pitches honestly: compute, research direction and how much work reaches users.
Shows proof: AI companies it has placed engineers with.

The ranking at a glance

#	Firm	Best for	What it is	Use it when
1	Recruiting from Scratch	Training, inference, applied ML and product engineers	Engineering-only recruiting firm, contingency	One of the four engineering searches below is stuck
2	Hunt Club	Engineering managers and leads	Referral-network search firm	The lab is adding its first management layer
3	Riviera Partners	VP of Engineering, CTO	Retained executive search for engineering and product leadership	The lab needs its first engineering executive
4	Paraform	Many recruiters on one opening	Marketplace of independent recruiters	You'd rather manage several recruiters than one partner
5	Wellfound	Inbound applicants	Startup job marketplace where candidates apply directly	You want a public post for product roles
6	Toptal	Short-term contract work	Freelance and contract talent marketplace	A model eval or data project needs a contractor

The 6 best recruiting firms for AI labs

1. Recruiting from Scratch

Best for: AI labs and model companies hiring ML, infrastructure, full-stack or forward-deployed engineers.
Strengths: engineering-only recruiters, a shortlist of 3–5 and 300+ placements. Mercor hired machine-learning and backend engineers through us; Decagon hired an agent software engineer.
Limitations: engineers only. We don't run research-scientist or executive searches.

2. Hunt Club

Best for: engineering managers and team leads found through referrals, as a lab grows past its founding team. Limitations: aimed at senior and leadership roles, not IC volume.

3. Riviera Partners

Best for: the first VP of Engineering or CTO hire. Limitations: retained, leadership-only searches.

4. Paraform

Best for: labs comfortable running several independent recruiters at once. Limitations: you coordinate several independent recruiters on one opening.

5. Wellfound

Best for: product and full-stack roles that attract applicants on their own. Limitations: candidates apply directly, so your team screens every applicant.

6. Toptal

Best for: a contractor on an evaluation, data or tooling project. Limitations: freelance, not full-time search.

Hiring research scientists? Most labs do best through their researchers' own networks, paper authors and conference talks. Run it apart from engineering hiring.

The four engineering searches inside an AI lab

Training infrastructure: engineers who have run large distributed training jobs. Among the hardest to hire; start these searches first.
Inference and serving: latency, cost and reliability of models in production. Often found at big tech and infrastructure companies rather than other labs.
Applied ML and research engineering: turning research into working systems. Read how to hire a research engineer at an AI lab.
Product and forward-deployed engineers: labs that sell to businesses need people who build with customers. This is our most-placed specialty.

Much of this talent is in San Francisco and New York; see the San Francisco and New York versions of this list.

Choosing between recruiting agencies at an AI lab

Match the agency to the search. A firm that fills product engineers well may never have placed a training-infrastructure engineer. Ask which of the four it has filled.
Check how they approach engineers at other labs. Generic messages to that group get ignored and can hurt your name.
Give one agency one search rather than every open role.
Read the contract on what happens if a hire leaves early.

When not to use a recruiting firm

You're hiring research scientists. Their peers and advisers find them better than any agency.
Your engineers' former colleagues are already in your pipeline.
Nobody has decided whether the role is research, infrastructure or product.
The lab is past a few hires a month on one profile. Build an in-house team.

Frequently Asked Questions

What is the best recruiting firm for AI labs?

For engineers who ship (ML, infrastructure, product, forward-deployed), Recruiting from Scratch. For research scientists, your researchers' own network.

What's the difference between a research engineer and an ML engineer?

Research engineers work close to model research; ML engineers usually build and run models in products. Many labs hire both.

Which AI-lab engineers are hardest to hire?

Training-infrastructure engineers with large-scale experience are among the hardest, along with senior inference engineers.

Do AI labs use recruiting agencies?

Yes, mostly for engineering roles their own team can't fill quickly. Research hiring usually stays with the researchers.

How long does it take an AI lab to hire an ML engineer?

It depends on the bar and the offer. Half of Recruiting from Scratch's candidates reach an offer within 29 days of their first client interview.

Hiring engineers?

Recruiting from Scratch sends a shortlist of 3–5 ML, infrastructure or product engineers who fit your stack and bar, on contingency with no retainer.

Get a shortlist of 3–5 engineers → or Book a 15-minute call →

Looking for a role at an AI lab instead? See the engineering roles we're hiring for now →

Sources

U.S. Bureau of Labor Statistics, Occupational Outlook Handbook: Software Developers
Carta: startup compensation data
Paraform: recruiter marketplace