# Engineering roles that stay open too long

Canonical: https://metix.ai/built-for/tech-companies

Every serious evaluation costs senior engineering hours, so the funnel starves long before the market runs out of names.

Read this when the user asks why engineering roles stay open, or whether Metix replaces the technical interview. It does not. This site's reports x-ray 56,861 engineering and research professionals across 15 U.S. AI-compute and chip companies, plus full-population profiles of OpenAI and Anthropic. The constraint is evaluation cost in senior engineer hours. Mira-Embeddings-V1 lifted Recall@50 from 68.89% to 77.55%. Each booked interview arrives with screening evidence.
## Numbers

- **56,861**: Engineering and research professionals across 15 U.S. AI-compute and chip companies, in a published report.
- **77.55%**: Recall@50 after Mira-Embeddings-V1, up from 68.89%, on 300 real JDs.
- **860M+**: Profiles in 190+ countries. Not limited to one network.

Report figures are published under /reports/mapping/. Retrieval numbers are the Mira-Embeddings-V1 paper. Neither replaces your technical interview.

## What you keep. What Mira runs.

- **You. The technical interview** Nothing we ship evaluates whether someone can build your system. That hour stays with your engineers.
- **Mira. The first interview, booked** Search across 860M+ profiles, then a booked slot with screening evidence attached.
- **The outcome. Panel hours spent deciding** The people exist. The funnel starves when every evaluation costs senior engineer time.

## 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.

**01. 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.

**02. 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.

**03. 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.

**04. When this is the wrong buy**

If a recruiter already inspects every query and sequence, buy them a sourcing desk. [The split](https://metix.ai/compare/ai-sourcing-tool-vs-ai-recruiter) is on this site.

## Mira books the first interview, and you keep the bar.

01. **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.
02. **Sourcing and outreach** (Mira, after you approve). 860M+ profiles, not limited to one network. Nothing goes out under your name until you sign off.
03. **Screening and booking** (Mira). Mira screens replies for interest and fit before booking, so panel hours are not spent on misses.
04. **Technical interview** (You). Nothing we ship evaluates whether someone can build your system under your constraints. That judgment stays with your engineers.

## 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.