We raised $5.5M, and we're now Metix AI.

A sharper name, and the funding to build it out.

Staff ML Engineer Brief

Metix AI runs the search. Booked interviews come back on a calendar. I weighted people who have written kernels and owned a training stack, not people who have only called a hosted API. CUDA was pass-fail. The technical interview stays with your engineers. 156 cleared the bar and were contacted. I ranked the 6 who came back so panel hours go to deciding, not to discovering a mismatch live.

Thinking…

Answer the role questions to refine your candidate search.

Staff ML Engineer

I weighted people who have written kernels and owned a training stack, not people who have only called a hosted API. CUDA was pass-fail. The technical interview stays with your engineers.

Engineering and research professionals 56,861 across 15 U.S. AI-compute and chip companies, in a published report.

Recall@50
77.55% after Mira-Embeddings-V1, up from 68.89%, on 300 real JDs.

Profiles
860M+ in 190+ countries. Not limited to one network.
Retrieval numbers are the Mira-Embeddings-V1 paper. Neither replaces your technical interview.

What you keep. What Mira runs.

Same loop as the rest of the product. The bar, the outreach approval, and the interviews stay with you.

The Technical Interview

Nothing we ship evaluates whether someone can build your system. That hour stays with your engineers.

The First Interview, Booked

Search across 860M+ profiles, then a booked slot with screening evidence attached.

Panel Hours Spent Deciding

The people exist. The funnel starves when every evaluation costs senior engineer time.

The Constraint

Supply is mappable, and panels are not infinite.

Public reports on this site profiled 3,041 OpenAI engineers and 1,281 Anthropic engineers and researchers as full populations. The compute study found roughly one in seven of NVIDIA's engineers locked in place by unvested equity: present, skilled, not applying. Roles stay open because funnels get rationed to the width a panel can afford.

Staff and Senior ICs

The miss is expensive in senior hours. Screening evidence arrives with the slot so the panel decides instead of discovering a mismatch live.

ML and Research-Adjacent Roles

The embeddings study is about retrieval on recruitment data, not about replacing a research interview. You still run that interview.

Infra, Systems, Rare Stacks

Sourcing is not limited to people active on one network. The bar you write is the filter. We do not claim a GitHub-only index as the product.

When This is the Wrong Buy

If a recruiter already inspects every query and sequence, buy them a sourcing desk.
The split is on this site.

The Loop

Mira Books the First Interview, and You Keep the Bar.

1. Write the Engineering Bar
   You: Stack, seniority, domain, the work. Not a polished JD. Mira asks a follow-up only when the answer would change the search.

2. Sourcing and Outreach
   Mira, after you approve 860M+ profiles, not limited to one network. Nothing goes out under your name until you sign off.

3. Screening and Booking
   Mira screens replies for interest and fit before a credit is in play, so panel hours are not spent on misses.

4. Technical Interview
   You: Nothing we ship evaluates whether someone can build your system under your constraints. That judgment stays with your engineers.

Pricing

Published Plans. Credits Move on the Interview.

A credit is one interested, interview-ready candidate. If nobody clears the bar, the credit stays unspent. Yearly billing saves 10 percent. Volume and specialized hiring is quote-only.

Starter

$49/mo
3 interview-ready candidates / mo
1 active role

Growth

$89/mo
12 interview-ready candidates / mo
3 active roles

Professional

$159/mo
30 interview-ready candidates / mo
6 active roles

Scale

$299/mo
75 interview-ready candidates / mo
12 active roles

Monthly list prices, checked against the pricing page. Trial: 14 days, 3 New Roles, 12 Credits, no card.

FAQ

Can Metix AI Evaluate Specialized Engineering Skills?

Mira screens against the hiring bar you approve: required skills, seniority, domain background, and the questions you would ask in a first call. The published Mira-Embeddings-V1 study covers how retrieval is tuned on recruitment data specifically. What Metix AI does not do is replace your technical interview; it ships the screening evidence with each booked candidate so your engineers spend their hours on people already worth the hour.

If Entire Engineering Orgs Can Be Mapped, Why Are Roles Still Open?

The people exist. Public Metix AI reports profiled 3,041 OpenAI engineers and 1,281 Anthropic engineers and researchers as full populations, and 56,861 engineering and research professionals across 15 U.S. AI-compute and chip companies. The AI-compute study found roughly one in seven of NVIDIA's engineers effectively locked in place by unvested equity: present, skilled, and not applying. Roles stay open because every serious evaluation costs senior engineer hours, so funnels get rationed to the width a panel can afford.

Where Do Engineering Candidates Come From?

Sourcing runs across 860M+ profiles in more than 190 countries, per the published funding announcement. It is not limited to people active on one network, which matters for engineering searches where the strongest candidates are rarely applying anywhere.

Does Metix AI Replace the Technical Interview?

No. Nothing we ship evaluates whether someone can build your system under your constraints. That judgment stays with your engineers. What arrives is a booked first interview with the screening evidence attached, so panel hours go to deciding rather than discovering a mismatch live.

Fix the Constraint, Not the Haystack.

The people are findable, so spend senior hours on people already worth the hour.