How many AI roles reference Multimodal right now?

1,073 active AI roles across 126 companies in our index reference Multimodal as of today. New postings fell 30% in the last 30 days versus the prior 30 (473 → 332).

Which companies are hiring for Multimodal roles?

The companies with the most active Multimodal listings are: Amazon (227 roles), Google (104 roles), NVIDIA (80 roles), Adobe (77 roles), Apple (41 roles).

What AI lifecycle stage does Multimodal belong to?

Multimodal primarily belongs to the pre-training, post-training, and application stages of the AI lifecycle. In current hiring, Multimodal roles concentrate at: agents (34%), post-training (21%).

What sectors invest most in Multimodal?

The sectors with the most active Multimodal hiring are: Big Tech, Enterprise, Semiconductors.

← Tag co-occurrence network

Multimodal

Models that process or generate across modalities — text, images, audio, video — within a single architecture; covers training, fine-tuning, and application-layer integration.

Primary AI lifecycle stage: pre-training, post-training, and application.

As of today, 1,073 active AI roles across 126 companies in our index reference Multimodal. Hiring concentrates at the agents (34%) and post-training (21%) stages. Most common sectors: Big Tech, Enterprise, Semiconductors. New postings fell 30% in the last 30 days versus the prior 30 (473 → 332).

Top hiring:

Function

All Engineering · 1194 Research · 472 Product · 126

33 AI roles tagged multimodal.

Company	Title	Sector	AI score	Other tags
Walmart	(USA) Distinguished, Data Scientist	Retail	9	Agent orchestration · Agent research · Tool use · Evals · RAG · Vector DB · Fine-tuning · Model serving
Walmart	Distinguished, Software Engineer -AI/ML Engineer- Walmart Connect	Retail	9	Agent orchestration · Tool use · RAG · Vector DB · Fine-tuning · Inference infra · Model serving · RL post-training · Agent research · LLM observability · Guardrails
Walmart	Principal, Data Scientist -- Agentic AI	Retail	9	Agent orchestration · Tool use · LLM observability · RAG · Fine-tuning · Model serving · Agent research · Vision · Code gen
Walmart	Distinguished, Software Engineer -AI/ML Engineer – Agentic Systems	Retail	9	Agent orchestration · Agent research · LLM observability · RL robotics
Target	Lead Data Scientist- AML	Retail	8	Fine-tuning
Walmart	Senior, Data Scientist (Machine Learning Engineer)	Retail	8	Model serving · Inference infra · RAG · Fine-tuning · Vector DB
Walmart	(IND) SENIOR, DATA SCIENTIST	Retail	8	Vision · Model serving · Fine-tuning
Walmart	Senior, Data Scientist	Retail	8	RAG · Fine-tuning · Model serving

Frequently asked questions

What is Multimodal in AI?
Models that process or generate across modalities — text, images, audio, video — within a single architecture; covers training, fine-tuning, and application-layer integration. Primary AI lifecycle stage: pre-training, post-training, and application.
How many AI roles reference Multimodal right now?
1,073 active AI roles across 126 companies in our index reference Multimodal as of today. New postings fell 30% in the last 30 days versus the prior 30 (473 → 332).
Which companies are hiring for Multimodal roles?
The companies with the most active Multimodal listings are: Amazon (227 roles), Google (104 roles), NVIDIA (80 roles), Adobe (77 roles), Apple (41 roles).
What AI lifecycle stage does Multimodal belong to?
Multimodal primarily belongs to the pre-training, post-training, and application stages of the AI lifecycle. In current hiring, Multimodal roles concentrate at: agents (34%), post-training (21%).
What sectors invest most in Multimodal?
The sectors with the most active Multimodal hiring are: Big Tech, Enterprise, Semiconductors.