Multimodal AI

Models that take in or produce more than one kind of data — text, images, audio, video — within a single system.

Hiring data as of November 5, 2026 · refreshed daily

companies naming it: 7 of 47companies naming it
open roles naming it: 17open roles naming it
of those based in NYC: 11of those based in NYC
pay: under 8 posted ranges: —pay: under 8 posted ranges

What Multimodal AI means

A multimodal model works across data types: reading a chart and answering in text, generating video from a description, holding a spoken conversation. In New York the term is tied to the city’s generative-media and voice companies.

Multimodal AI in New York job posts

7 of the 47 New York AI companies we track name Multimodal AI in at least one open role today, across 17 postings. 11 of those are based in New York; the rest are remote or in the companies’ other offices.

Research roles make up 47% of the postings that name it, with the rest spread across other functions.

How to read it

Concentrated in research and machine-learning engineering roles at companies whose product is generated media. It usually implies training or adapting models, not only calling them, so expect the posting to name distributed training, fine-tuning, and inference as well.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Multimodal AI 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 Multimodal AI, 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	7
2026-09-21	7
2026-09-22	7
2026-09-23	7
2026-09-24	7
2026-09-25	7
2026-09-26	7
2026-09-27	7
2026-09-28	7
2026-09-29	7
2026-09-30	7
2026-10-01	7
2026-10-02	7
2026-10-03	7
2026-10-04	7
2026-10-05	7
2026-10-06	7
2026-10-07	7
2026-10-08	7
2026-10-09	7
2026-10-10	7
2026-10-11	7
2026-10-12	7
2026-10-13	7
2026-10-14	7
2026-10-15	7
2026-10-16	7
2026-10-17	8
2026-10-18	8
2026-10-19	8
2026-10-20	8
2026-10-21	8
2026-10-22	8
2026-10-23	8
2026-10-24	8
2026-10-25	8
2026-10-26	8
2026-10-27	7
2026-10-28	7
2026-10-29	7
2026-10-30	7
2026-10-31	7
2026-11-01	7
2026-11-02	7
2026-11-03	7
2026-11-04	7
2026-11-05	7

Who names it

Open roles naming Multimodal AI, by company.

ElevenLabs3
Mirage (fka Captions)3
Modal3
Runway3
EvolutionIQ2
Reality Defender2
Invisible Technologies1

Which roles

The same postings, by function and by seniority.

Research8
Engineering7
GTM1
Product1

Mid8
Staff/Principal6
Senior2
Entry1

Named alongside Multimodal AI

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 7 companies pair the two.

Distributed training 3
Ray 2
Synthetic data 2
Quantization and distillation 2
Fine-tuning 4
Reinforcement learning 2
Tool use 3
AI safety 2
PyTorch 3
GPUs 2

Open roles naming Multimodal AI

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 Red Team Researcher ↗Reality Defender · New York City
Group Product Manager ↗Mirage (fka Captions) · Union Square, New York City
Member of Technical Staff - Research, Inference ↗Modal · New York
Member of Technical Staff, Robotics Engineer ↗Runway · New York, NY
Senior AI / ML Engineer (LLMs) ↗EvolutionIQ · New York, NY or Remote
Senior Solutions Architect - Data Labs ↗Invisible Technologies · London - Hybrid; New York - Hybrid; San Francisco Bay Area - Hybrid
Account Executive - Digital Natives - Strategic ↗ElevenLabs · United States
Staff Data Platform Engineer ↗Reality Defender · New York City

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.

Multimodal AI — common questions

What does Multimodal AI mean in an AI job posting?

Models that take in or produce more than one kind of data — text, images, audio, video — within a single system. Concentrated in research and machine-learning engineering roles at companies whose product is generated media. It usually implies training or adapting models, not only calling them, so expect the posting to name distributed training, fine-tuning, and inference as well.

How many New York AI companies are hiring for Multimodal AI?

As of November 5, 2026, 7 of the 47 New York AI companies we track name Multimodal AI in the description of at least one open role, across 17 postings (11 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Multimodal AI pay in New York?

We do not publish a pay figure for Multimodal AI 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 Multimodal AI?

In the same postings, the terms most distinctively paired with Multimodal AI are Distributed training, Ray, Synthetic data, Quantization and distillation, Fine-tuning. 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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