Hugging Face
The hub where open models and datasets are shared, and the Transformers library most teams use to load and fine-tune them. Headquartered in New York.
Hiring data as of September 20, 2026 · refreshed daily
- companies naming it
- 5 of 47companies naming it
- open roles naming it
- 18open roles naming it
- of those based in NYC
- 8of those based in NYC
- pay: under 8 posted ranges
- —pay: under 8 posted ranges
What Hugging Face means
Hugging Face hosts open-weight models and datasets and maintains the libraries — Transformers, Datasets, PEFT — that make them usable in a few lines of code. It is the distribution channel for most open-source AI. The company is on the NYC AI 100, and its own postings are excluded from this count.
Hugging Face in New York job posts
5 of the 47 New York AI companies we track name Hugging Face in at least one open role today, across 18 postings. 8 of those are based in New York; the rest are remote or in the companies’ other offices.
This is engineering vocabulary: 94% of the postings that name it are Engineering roles.
Attentive alone accounts for 10 of the 18 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
Signals work with open-weight models: fine-tuning, self-hosting, or evaluating alternatives to a commercial API. Commonly paired with PyTorch in the same postings.
What these roles pay
Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Hugging Face 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 Hugging Face, daily
Count of companies with at least one open role naming the term. We read between 47 and 48 companies a day over this period, so a move of one or two is noise.
View as table
| Date | companies |
|---|---|
| 2026-08-17 | 4 |
| 2026-08-18 | 4 |
| 2026-08-19 | 4 |
| 2026-08-20 | 4 |
| 2026-08-21 | 4 |
| 2026-08-22 | 4 |
| 2026-08-23 | 4 |
| 2026-08-24 | 4 |
| 2026-08-25 | 4 |
| 2026-08-26 | 4 |
| 2026-08-27 | 4 |
| 2026-08-28 | 4 |
| 2026-08-29 | 4 |
| 2026-08-30 | 4 |
| 2026-08-31 | 4 |
| 2026-09-01 | 4 |
| 2026-09-02 | 4 |
| 2026-09-03 | 4 |
| 2026-09-04 | 4 |
| 2026-09-05 | 4 |
| 2026-09-06 | 4 |
| 2026-09-07 | 4 |
| 2026-09-08 | 4 |
| 2026-09-09 | 4 |
| 2026-09-10 | 4 |
| 2026-09-11 | 4 |
| 2026-09-12 | 4 |
| 2026-09-13 | 4 |
| 2026-09-14 | 4 |
| 2026-09-15 | 4 |
| 2026-09-16 | 4 |
| 2026-09-17 | 4 |
| 2026-09-18 | 4 |
| 2026-09-19 | 5 |
| 2026-09-20 | 5 |
Who names it
Open roles naming Hugging Face, by company.
- Attentive10
- Invisible Technologies5
- AlphaSense1
- Comet1
- Normal Computing1
Which roles
The same postings, by function and by seniority.
- Engineering17
- GTM1
- Senior9
- Staff/Principal5
- Mid4
Named alongside Hugging Face
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 Hugging Face
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.
- AI Engineer ↗Normal Computing · New York City
- Principal Backend Engineer (Forward Deployed) ↗Invisible Technologies · London - Hybrid; New York - Hybrid; San Francisco Bay Area - Hybrid
- Principal Software Engineer, Machine Learning ↗Attentive · New York, NY
- Senior Software Engineer ↗AlphaSense · Bengaluru
- Technical Account Manager (TAM) ↗Comet · USA, Remote
- Senior Software Engineer (Forward Deployed) ↗Invisible Technologies · London - Hybrid; New York - Hybrid; San Francisco Bay Area - Hybrid
- Senior Machine Learning Engineer ↗Attentive · New York, NY
- Senior Software Engineer, Applied AI (Forward Deployed) ↗Invisible Technologies · New York - Hybrid
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.
Hugging Face — common questions
What does Hugging Face mean in an AI job posting?
The hub where open models and datasets are shared, and the Transformers library most teams use to load and fine-tune them. Headquartered in New York. Signals work with open-weight models: fine-tuning, self-hosting, or evaluating alternatives to a commercial API. Commonly paired with PyTorch in the same postings.
How many New York AI companies are hiring for Hugging Face?
As of September 20, 2026, 5 of the 47 New York AI companies we track name Hugging Face in the description of at least one open role, across 18 postings (8 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for Hugging Face pay in New York?
We do not publish a pay figure for Hugging Face 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 Hugging Face?
In the same postings, the terms most distinctively paired with Hugging Face are TensorFlow, PyTorch, LangChain, OpenAI, Apache Kafka. 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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