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Machine learning

Building systems that learn patterns from data instead of following hand-written rules. The parent field of everything else in this glossary.

Hiring data as of November 4, 2026 · refreshed daily

companies naming it
39 of 47companies naming it
open roles naming it
184open roles naming it
of those based in NYC
105of those based in NYC
median posted base (n=73)
$210kmedian posted base (n=73)

What Machine learning means

Machine learning is the practice of fitting a model to data so it can make predictions or decisions on new inputs. It spans classical methods — gradient-boosted trees for fraud scoring, logistic regression for ranking — through deep learning and the large language models built on it.

It is the control term in this glossary. Nearly every company in our coverage names it somewhere, so its count says little on its own; its value is as a denominator, and as a check that the extraction is working.

Machine learning in New York job posts

39 of the 47 New York AI companies we track name Machine learning in at least one open role today, across 184 postings. 105 of those are based in New York; the rest are remote or in the companies’ other offices.

Engineering roles make up 56% of the postings that name it, with the rest spread across other functions.

How to read it

Too broad to read by itself. Look at what it is paired with: PyTorch and GPUs mean model development; SQL and dbt mean analytics with some modeling; LLMs and agents mean application engineering that may involve no training at all. Those are three different jobs with three different pay bands.

Go deeper: when work calls for prediction, generation, or action, in the Neuronify AI Field Guide.

What these roles pay

$183k25th percentile
$210kMedian
$250k75th percentile

Midpoints of 73 distinct salary ranges posted on New York roles that name Machine learning. 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 $216k. 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 Machine learning, 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.

0255039Sep 20Nov 4Sep 20: 41 companiesSep 21: 41 companiesSep 22: 41 companiesSep 23: 41 companiesSep 24: 41 companiesSep 25: 40 companiesSep 26: 40 companiesSep 27: 40 companiesSep 28: 40 companiesSep 29: 41 companiesSep 30: 41 companiesOct 1: 41 companiesOct 2: 41 companiesOct 3: 41 companiesOct 4: 41 companiesOct 5: 41 companiesOct 6: 41 companiesOct 7: 41 companiesOct 8: 41 companiesOct 9: 40 companiesOct 10: 39 companiesOct 11: 39 companiesOct 12: 39 companiesOct 13: 39 companiesOct 14: 39 companiesOct 15: 39 companiesOct 16: 39 companiesOct 17: 40 companiesOct 18: 40 companiesOct 19: 40 companiesOct 20: 40 companiesOct 21: 39 companiesOct 22: 39 companiesOct 23: 39 companiesOct 24: 39 companiesOct 25: 39 companiesOct 26: 40 companiesOct 27: 40 companiesOct 28: 39 companiesOct 29: 39 companiesOct 30: 40 companiesOct 31: 40 companiesNov 1: 40 companiesNov 2: 40 companiesNov 3: 40 companiesNov 4: 39 companies
View as table
Datecompanies
2026-09-2041
2026-09-2141
2026-09-2241
2026-09-2341
2026-09-2441
2026-09-2540
2026-09-2640
2026-09-2740
2026-09-2840
2026-09-2941
2026-09-3041
2026-10-0141
2026-10-0241
2026-10-0341
2026-10-0441
2026-10-0541
2026-10-0641
2026-10-0741
2026-10-0841
2026-10-0940
2026-10-1039
2026-10-1139
2026-10-1239
2026-10-1339
2026-10-1439
2026-10-1539
2026-10-1639
2026-10-1740
2026-10-1840
2026-10-1940
2026-10-2040
2026-10-2139
2026-10-2239
2026-10-2339
2026-10-2439
2026-10-2539
2026-10-2640
2026-10-2740
2026-10-2839
2026-10-2939
2026-10-3040
2026-10-3140
2026-11-0140
2026-11-0240
2026-11-0340
2026-11-0439

Who names it

Open roles naming Machine learning, by company.

Also: Reality Defender, Basis, H1, Maven Clinic, Pinecone, Alloy, ASAPP, Clay, Hume AI, Hyperscience, K Health, Norm Ai, Rillet, Rogo, Sixfold, Slingshot AI, Spade, Tennr, April, Arthur, Comet, DataKind, Hebbia, Patlytics, Preql, Tabs, Vic.ai.

Which roles

The same postings, by function and by seniority.

  • Engineering103
  • Research31
  • GTM18
  • Product10
  • People7
  • Other6
  • Mid79
  • Senior44
  • Staff/Principal41
  • Entry9
  • Manager5
  • Director3

Named alongside Machine learning

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 39 companies pair the two.

Open roles naming Machine learning

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

Machine learning — common questions

What does Machine learning mean in an AI job posting?

Building systems that learn patterns from data instead of following hand-written rules. The parent field of everything else in this glossary. Too broad to read by itself. Look at what it is paired with: PyTorch and GPUs mean model development; SQL and dbt mean analytics with some modeling; LLMs and agents mean application engineering that may involve no training at all. Those are three different jobs with three different pay bands.

How many New York AI companies are hiring for Machine learning?

As of November 4, 2026, 39 of the 47 New York AI companies we track name Machine learning in the description of at least one open role, across 184 postings (105 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Machine learning pay in New York?

Across 73 distinct posted salary ranges on New York roles naming Machine learning, the median midpoint is $210k base, with the middle half between $183k and $250k. The same figure for all New York engineering postings is $216k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.

Which skills are asked for alongside Machine learning?

In the same postings, the terms most distinctively paired with Machine learning are MLOps, PyTorch, RAG, Evals, Inference. 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.

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