Neuronify

Embeddings

Numeric vectors that represent the meaning of text, images, or other data, so that similar items sit close together and can be found by distance.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it
5 of 47companies naming it
open roles naming it
6open roles naming it
of those based in NYC
4of those based in NYC
pay: under 8 posted ranges
—pay: under 8 posted ranges

What Embeddings means

An embedding is a list of numbers produced by a model to represent a piece of content, arranged so that items with similar meaning end up near each other. Two sentences that say the same thing in different words get similar vectors, which is what makes search by meaning possible.

Embeddings are the foundation of semantic search, retrieval for RAG, clustering, deduplication, and many recommendation systems. Most teams use a provider’s embedding model rather than training one.

Embeddings in New York job posts

5 of the 47 New York AI companies we track name Embeddings in at least one open role today, across 6 postings. 4 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 83% of the postings that name it are Engineering roles.

How to read it

Named far less often than RAG or vector search, which is telling: employers ask for the system, not the component. When embeddings are called out specifically, the role usually involves search, ranking, or matching as a core product feature.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Embeddings before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.

Trend

We began extracting this term from posting text on September 20, 2026. Job descriptions disappear when a role is filled, so the series cannot be backfilled; a trend line appears here once a week of data exists.

Who names it

Open roles naming Embeddings, by company.

Which roles

The same postings, by function and by seniority.

  • Engineering5
  • Product1
  • Staff/Principal3
  • Senior1
  • Entry1
  • Mid1

Named alongside Embeddings

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 5 companies pair the two.

Open roles naming Embeddings

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

Embeddings — common questions

What does Embeddings mean in an AI job posting?

Numeric vectors that represent the meaning of text, images, or other data, so that similar items sit close together and can be found by distance. Named far less often than RAG or vector search, which is telling: employers ask for the system, not the component. When embeddings are called out specifically, the role usually involves search, ranking, or matching as a core product feature.

How many New York AI companies are hiring for Embeddings?

As of September 20, 2026, 5 of the 47 New York AI companies we track name Embeddings in the description of at least one open role, across 6 postings (4 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Embeddings pay in New York?

We do not publish a pay figure for Embeddings yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.

Which skills are asked for alongside Embeddings?

In the same postings, the terms most distinctively paired with Embeddings are Vector search, RAG, Azure, Anthropic, Data pipelines. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

Need someone who has actually shipped this?

A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.

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