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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 September 20, 2026 · refreshed daily

companies naming it
41 of 47companies naming it
open roles naming it
197open roles naming it
of those based in NYC
105of those based in NYC
median posted base (n=65)
$215kmedian posted base (n=65)

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

41 of the 47 New York AI companies we track name Machine learning in at least one open role today, across 197 postings. 105 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 63% of the postings that name it are Engineering roles.

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.

What these roles pay

$185k25th percentile
$215kMedian
$251k75th percentile

Midpoints of 65 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 $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.

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 Machine learning, by company.

Also: K Health, Mirage (fka Captions), Tennr, H1, Maven Clinic, Vic.ai, Alloy, Andela, ASAPP, Clay, Comet, Hebbia, Hume AI, Norm Ai, Pinecone, Reality Defender, Rillet, Slingshot AI, SmarterDx, Spade, April, Arthur, DataKind, Hyperscience, Kustomer, Patlytics, Preql, Rogo, Sixfold.

Which roles

The same postings, by function and by seniority.

  • Engineering124
  • Research29
  • GTM21
  • Other6
  • Product6
  • Finance & Legal4
  • Mid90
  • Senior45
  • Staff/Principal44
  • Leadership6
  • Entry6
  • Manager5

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 41 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 September 20, 2026, 41 of the 47 New York AI companies we track name Machine learning in the description of at least one open role, across 197 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 65 distinct posted salary ranges on New York roles naming Machine learning, the median midpoint is $215k base, with the middle half between $185k and $251k. 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 Machine learning?

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