Neuronify

PyTorch

The dominant open-source framework for building and training neural networks, and the clearest marker of a role that works on models directly.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it
11 of 47companies naming it
open roles naming it
33open roles naming it
of those based in NYC
13of those based in NYC
median posted base (n=9)
$265kmedian posted base (n=9)

What PyTorch means

PyTorch is the deep learning framework most research and most production training is written in. It provides tensors that run on GPUs, automatic differentiation, and an ecosystem of libraries for distributed training and model serving.

PyTorch in New York job posts

11 of the 47 New York AI companies we track name PyTorch in at least one open role today, across 33 postings. 13 of those are based in New York; the rest are remote or in the companies’ other offices.

Engineering roles make up 55% of the postings that name it, with the rest spread across other functions.

How to read it

If a posting names PyTorch, the job involves training, adapting, or optimizing models, not only calling them. It is named alongside JAX, CUDA, and Hugging Face. It separates machine-learning engineering from AI application engineering more cleanly than any job title does.

What these roles pay

$215k25th percentile
$265kMedian
$282k75th percentile

Midpoints of 9 distinct salary ranges posted on New York roles that name PyTorch. Base salary only; on-target earnings are excluded, and a range repeated across one company’s postings counts once. For comparison, the median across all New York engineering postings is $215k. A term’s pay reflects the roles that name it as much as the skill itself — see the role mix below before reading a premium into it. Full bands by function and seniority are in the NYC salary calculator.

Companies naming PyTorch, 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.

07.51511Aug 17Sep 20Aug 17: 12 companiesAug 18: 12 companiesAug 19: 11 companiesAug 20: 11 companiesAug 21: 11 companiesAug 22: 11 companiesAug 23: 11 companiesAug 24: 11 companiesAug 25: 10 companiesAug 26: 10 companiesAug 27: 10 companiesAug 28: 10 companiesAug 29: 10 companiesAug 30: 10 companiesAug 31: 10 companiesSep 1: 10 companiesSep 2: 10 companiesSep 3: 10 companiesSep 4: 10 companiesSep 5: 10 companiesSep 6: 10 companiesSep 7: 10 companiesSep 8: 10 companiesSep 9: 10 companiesSep 10: 10 companiesSep 11: 10 companiesSep 12: 10 companiesSep 13: 10 companiesSep 14: 10 companiesSep 15: 9 companiesSep 16: 9 companiesSep 17: 10 companiesSep 18: 10 companiesSep 19: 11 companiesSep 20: 11 companies
View as table
Datecompanies
2026-08-1712
2026-08-1812
2026-08-1911
2026-08-2011
2026-08-2111
2026-08-2211
2026-08-2311
2026-08-2411
2026-08-2510
2026-08-2610
2026-08-2710
2026-08-2810
2026-08-2910
2026-08-3010
2026-08-3110
2026-09-0110
2026-09-0210
2026-09-0310
2026-09-0410
2026-09-0510
2026-09-0610
2026-09-0710
2026-09-0810
2026-09-0910
2026-09-1010
2026-09-1110
2026-09-1210
2026-09-1310
2026-09-1410
2026-09-159
2026-09-169
2026-09-1710
2026-09-1810
2026-09-1911
2026-09-2011

Who names it

Open roles naming PyTorch, by company.

  • Attentive10
  • AlphaSense5
  • Runway5
  • Normal Computing4
  • Hume AI3
  • Comet1
  • EvolutionIQ1
  • Invisible Technologies1
  • Mirage (fka Captions)1
  • Modal1
  • SmarterDx1

Which roles

The same postings, by function and by seniority.

  • Engineering18
  • Research8
  • GTM6
  • Other1
  • Mid13
  • Staff/Principal9
  • Senior8
  • Entry2
  • Manager1

Named alongside PyTorch

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 11 companies pair the two.

Open roles naming PyTorch

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.

Related on Neuronify

PyTorch — common questions

What does PyTorch mean in an AI job posting?

The dominant open-source framework for building and training neural networks, and the clearest marker of a role that works on models directly. If a posting names PyTorch, the job involves training, adapting, or optimizing models, not only calling them. It is named alongside JAX, CUDA, and Hugging Face. It separates machine-learning engineering from AI application engineering more cleanly than any job title does.

How many New York AI companies are hiring for PyTorch?

As of September 20, 2026, 11 of the 47 New York AI companies we track name PyTorch in the description of at least one open role, across 33 postings (13 based in New York). The count refreshes daily from the companies’ own job boards.

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

Across 9 distinct posted salary ranges on New York roles naming PyTorch, the median midpoint is $265k base, with the middle half between $215k and $282k. The same figure for all New York engineering postings is $215k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.

Which skills are asked for alongside PyTorch?

In the same postings, the terms most distinctively paired with PyTorch are TensorFlow, JAX, Hugging Face, CUDA, Multimodal AI. 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.

Start a project briefJoin the expert network