For AI labs and model teams in New York

Research Engineer Recruiters for AI Labs and Startups in NYC

Research ideas only matter once they run. We find research engineers for New York City AI startups and labs who have owned those runs, from the first ablation to a model the team shipped.

75+
Candidates placed
17 days
Average time to hire across our last 3 hires
98%
Retention rate
Example Research Engineer shortlist for a seed-stage AI lab in New York City, with three candidates assessed on evidence

At a glance

Research roles we recruit for

Some labs need research engineers who mostly build training infrastructure. Others want them proposing experiments too. We agree which first.

Roles we recruit for

Research engineers, research scientists and ML engineers on model teams

Stages

Seed to Series C

Where

New York City. In office, hybrid or remote

Who we look for

Engineers who have run training at scale and turned ideas into results a team relied on

Speed

Our last 3 hires averaged 17 days

How you pay

Retained, success-based or embedded. Terms agreed upfront

How we assess

Research engineers who make experiments run at scale

For research engineers, we focus on the engineering behind the research: the runs, the infrastructure and whether another team could reproduce the result.

01

Ran training at scale

The largest runs they owned, the hardware behind them and what went wrong halfway through. How they handled the failures matters more than the size.

02

Turns ideas into results

One idea taken from a paper or a hunch to a result the team built on. We ask them to walk through each step, including the experiments that failed.

03

Designs clean experiments

Ablations, baselines, evaluation. We ask how they knew a result was real and not noise.

04

Writes code others reuse

Research code tends to rot. Training code and tools that other researchers kept using are a strong signal.

We check
  • Training run ownership

  • Research outcomes

  • Experiment design

  • Compute expectations

Your team checks
  • Research depth

  • Training infrastructure

  • Research code quality

Liam, Founder of StellarSearch

Who runs your search

Liam, Founder of StellarSearch

Our team brings 20+ years of search experience across engineering, AI/ML, product and GTM.

LinkedIn ↗
Sample Research Engineer candidate write-up: what they built, why they would move, what to watch for and what to test in your interview

Client feedback

Feedback from founders and the engineers we placed

Where our hires come from

We've placed people from teams like these

We look past titles to the work: ex-founders, early employees and people doing their best work outside the day job.

How we work

How we run your search

From the first call to an accepted offer. What we handle, and the few places we need you.

Step
What we do
What you do
01
Brief
What we do

Learn what you're building, what the hire owns in the first 90 days, and the comp, equity and location you can offer.

What you do

One call with the founders.

02
Market map
What we do

Map the market from day one. If the problem is sourcing, pay, location, process or the profile, we tell you early.

What you do

Agree any changes to the brief.

03
Outreach
What we do

Approach people who aren't applying anywhere, and assess each one on evidence before they reach you.

What you do

Nothing. This part is ours.

04
Introductions
What we do

Send each candidate with our write-up, then schedule and keep the process moving.

What you do

Run your interviews.

05
Offer and close
What we do

Advise on the offer, handle the back and forth, and close.

What you do

Make the final call.

If the search isn't working, we tell you fast. We use market data to recalibrate instead of sending weaker candidates for weeks.

Ways to work with us

Three ways to work with us

Pick the model that fits the hire. All terms are agreed upfront, with no hidden fees.

Best for a priority hire

Retained

A dedicated search for the one hire that can't wait. We commit time to your role from day one.

  • Dedicated search from the first call

  • Market map shared with you

  • Fee agreed upfront

Best for a single hire

Success-based

We run the search and you pay when the hire is made.

  • No fee until you hire

  • Same assessment on every candidate

  • Terms agreed before we start

Best for several roles

Embedded

We work as part of your team across several hires, for a monthly fee plus a reduced success fee.

  • Monthly fee plus reduced success fee

  • One hiring standard across roles

  • Works alongside your in-house team

FAQs

Questions labs ask us about research engineers

Can't find your answer? Talk to our team.

Research engineer or research scientist: who should we hire?

Do research engineers need a PhD?

Can we hire strong research engineers in New York?

What do research engineers want to know before they talk to us?

When should we hire a research engineer instead of an ML engineer?

How can a smaller lab compete with big AI labs for research engineers?

How quickly will we see candidates?

We already have an in-house recruiter. Why use you?

How much of the process do you own?

What if the search isn't working?

How do you charge?

Hiring your founding team?

Tell us what you're building. We'll find the experts who can build and ship it.

Start Hiring

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