AI skills glossary · Building with LLMs
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 November 14, 2026, refreshed daily. All terms in the AI skills glossary
- companies naming it
- 4 of 47companies naming it
- open roles naming it
- 6open roles naming it
- of those based in NYC
- 3of 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
4 of the 47 New York AI companies we track name Embeddings in at least one open role today, across 6 postings. 3 of those are based in New York; the rest are remote or in the companies’ other offices.
This is engineering vocabulary: 67% of the postings that name it are Engineering roles.
EvolutionIQ alone accounts for 3 of the 6 postings, which is why we lead with the company count: one employer’s hiring push should not read as a market trend.
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.
Go deeper: how retrieval and source-grounded answers work in practice, in Neuronify’s AI Field Guide.
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.
Companies naming Embeddings, daily
Count of companies with at least one open role naming the term. We read between 46 and 47 companies a day over this period, so a move of one or two is noise.
View as table
| Date | companies |
|---|---|
| 2026-09-20 | 5 |
| 2026-09-21 | 5 |
| 2026-09-22 | 5 |
| 2026-09-23 | 5 |
| 2026-09-24 | 4 |
| 2026-09-25 | 4 |
| 2026-09-26 | 4 |
| 2026-09-27 | 4 |
| 2026-09-28 | 4 |
| 2026-09-29 | 5 |
| 2026-09-30 | 5 |
| 2026-10-01 | 6 |
| 2026-10-02 | 6 |
| 2026-10-03 | 6 |
| 2026-10-04 | 6 |
| 2026-10-05 | 6 |
| 2026-10-06 | 6 |
| 2026-10-07 | 6 |
| 2026-10-08 | 6 |
| 2026-10-09 | 6 |
| 2026-10-10 | 6 |
| 2026-10-11 | 6 |
| 2026-10-12 | 6 |
| 2026-10-13 | 7 |
| 2026-10-14 | 7 |
| 2026-10-15 | 7 |
| 2026-10-16 | 6 |
| 2026-10-17 | 6 |
| 2026-10-18 | 6 |
| 2026-10-19 | 7 |
| 2026-10-20 | 7 |
| 2026-10-21 | 6 |
| 2026-10-22 | 6 |
| 2026-10-23 | 6 |
| 2026-10-24 | 6 |
| 2026-10-25 | 6 |
| 2026-10-26 | 5 |
| 2026-10-27 | 5 |
| 2026-10-28 | 5 |
| 2026-10-29 | 5 |
| 2026-10-30 | 5 |
| 2026-10-31 | 5 |
| 2026-11-01 | 5 |
| 2026-11-02 | 5 |
| 2026-11-03 | 5 |
| 2026-11-04 | 5 |
| 2026-11-05 | 5 |
| 2026-11-06 | 5 |
| 2026-11-07 | 5 |
| 2026-11-08 | 5 |
| 2026-11-09 | 5 |
| 2026-11-10 | 5 |
| 2026-11-11 | 5 |
| 2026-11-12 | 5 |
| 2026-11-13 | 4 |
| 2026-11-14 | 4 |
Who names it
Open roles naming Embeddings, by company.
- EvolutionIQ3
- Headway1
- Pinecone1
- Tabs1
Which roles
The same postings, by function and by seniority.
- Engineering4
- Product1
- Research1
- Senior3
- Staff/Principal1
- 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 4 companies pair the two.
- Vector search 2
- RAG 2
- Evals 2
- Machine learning 4
- TypeScript 3
- LLMs 3
- Python 3
- AI agents 2
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.
- Associate Field Engineer ↗Pinecone · New York City
- Research Engineer, AI/ML ↗Tabs · New York City, NY
- Senior AI / ML Engineer (LLMs) ↗EvolutionIQ · New York, NY or Remote
- Staff / Principal Product Manager, Ranking ↗Headway · Remote
- Senior AI Engineer (CCC Casualty / Claims Intelligence) ↗EvolutionIQ · Chicago, IL or Remote
- Senior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence) ↗EvolutionIQ · Chicago, IL or Remote
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 November 14, 2026, 4 of the 47 New York AI companies we track name Embeddings in the description of at least one open role, across 6 postings (3 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, Evals, Machine learning, TypeScript. 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.
Related
- AI skills glossary: every term, counted daily
- NYC AI skill map: which kinds of company hire for which skills
- AI jobs in NYC: every open role we read
- NYC AI Hiring Index: the weekly read on the same data
- NYC AI engineer salary guide: posted pay by role
