What is Multimodal Learning and how common is it in AI job postings?

Multimodal Learning is a skill in the "ML Techniques" category. It currently appears in 320 active AI roles across 63 companies in our index.

Which companies are hiring for Multimodal Learning?

The top employers with active AI roles mentioning Multimodal Learning are: Amazon (82), Google (44), ByteDance (29), NVIDIA (20), Apple (9).

Is demand for Multimodal Learning growing?

Over the last 12 weeks, 199 new AI postings mentioned Multimodal Learning. Demand is rising — up 135% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Multimodal Learning used?

Roles requiring Multimodal Learning are concentrated in: agents (38%), post-training (20%), application (16%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Multimodal Learning?

Job postings that mention Multimodal Learning most often also require: Machine Learning, Generative AI, Large Language Models (LLMs), Computer Vision, Python.

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Multimodal Learning

320 active AI roles across 63 companies mention Multimodal Learning. Category: ML Techniques.

Top employers

Amazon82Big Tech Google44Big Tech ByteDance29Big Tech NVIDIA20Semiconductors Apple9Big Tech OpenAI8AI Frontier Uber7Consumer Microsoft7Big Tech Axon7Enterprise Meta6Big Tech Reddit5Consumer Lila Sciences5AI Frontier Adobe5Enterprise Skydio4

Demand trend

New AI postings mentioning Multimodal Learning per week — 199 total over 12 weeks.

Sector

All Big Tech · 177 Consumer · 24 Enterprise · 23 AI Frontier · 22 Semiconductors · 20 Data AI · 10 Defense · 8 Pharma · 5 Multimodal · 5 Vertical AI · 4 Healthcare · 4 Banking · 4 Robotics · 3 Retail · 3 Media · 3 Auto · 3 Fintech · 2

Function

All Engineering · 208 Research · 102 Product · 10

Status

All Active only

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AI score Recently posted Company A–Z

320 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Walmart	Distinguished, Software Engineer -AI/ML Engineer – Agentic Systems	Retail	9	L4
Amazon	Principal Applied Scientist, Sponsored Products and Brands	Big Tech	9	L4
Meta	AI Research Scientist, Robotics	Big Tech	9	L2
OpenAI	Research Engineer/Scientist - Human Alignment, Consumer Devices	AI Frontier	9	L2
Character AI	Research Engineer, Multimodal	AI Frontier	9	L2
xAI	Member of Technical Staff - Imagine Model	AI Frontier	9	L2
Microsoft	Member of Technical Staff, Multimodal Infrastructure - MAI Superintelligence Team	Big Tech	9	L3
Johnson & Johnson	Senior Scientist, AI Applications - R&D Oncology	Pharma	9	L4
Amazon	Sr. Applied Scientist, AWS Just-Walk-Out Science Team	Big Tech

Frequently asked questions

What is Multimodal Learning and how common is it in AI job postings?
Multimodal Learning is a skill in the "ML Techniques" category. It currently appears in 320 active AI roles across 63 companies in our index.
Which companies are hiring for Multimodal Learning?
The top employers with active AI roles mentioning Multimodal Learning are: Amazon (82), Google (44), ByteDance (29), NVIDIA (20), Apple (9).
Is demand for Multimodal Learning growing?
Over the last 12 weeks, 199 new AI postings mentioned Multimodal Learning. Demand is rising — up 135% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Multimodal Learning used?
Roles requiring Multimodal Learning are concentrated in: agents (38%), post-training (20%), application (16%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Multimodal Learning?
Job postings that mention Multimodal Learning most often also require: Machine Learning, Generative AI, Large Language Models (LLMs), Computer Vision, Python.

Multimodal Learning

Top employers

Demand trend

Frequently asked questions

Demand trend

Multimodal Learning

Top employers

Often paired with

Frequently asked questions