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).

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Function

All Engineering · 1194 Research · 472 Product · 126

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FilteredsectorRobotics×

49 AI roles tagged multimodal.

Company	Title	Sector	AI score	Other tags
Figure AI	Helix AI Engineer, Pretraining	Robotics	10	Pretraining · Frontier research · Embodied AI · Model serving · Fine-tuning · RL post-training
Figure AI	Helix AI Engineer, Agentic Systems	Robotics	10	Agent orchestration · Embodied AI · Fine-tuning · Model serving · Agent research · RL robotics
Wayve	Engineering Internship, Enrichment and Curation	Robotics	9	Embodied AI · Vision · Pretraining · Fine-tuning · Evals
Aurora Innovation	Applied Researcher	Robotics	9	Vision
Aurora Innovation	Applied Researcher	Robotics	9	Vision
Aurora Innovation	Applied Researcher	Robotics	9	Vision
Aurora Innovation	Applied Researcher	Robotics	9	Vision
Wayve	Staff Machine Learning Engineer, AV Core	Robotics	9	Embodied AI · Vision · Fine-tuning · Model serving · Evals · Interpretability · Pretraining · Agent orchestration
Wayve	Applied Scientist, Wayve Labs	Robotics	9	Embodied AI · Vision · Evals · Frontier research · Model serving
Waabi	Distillation Lead	Robotics	9	Fine-tuning · Inference infra · Model serving · Quantization · Embodied AI
Wayve	Tech Lead, ML Engineer - AV Product engineering	Robotics	9	Embodied AI · Vision · Model serving · Fine-tuning · Evals
Figure AI	Helix AI Engineer, Modeling	Robotics	9	Embodied AI · Fine-tuning · Model serving · Vision · Agent orchestration
Figure AI	Helix AI Engineer, Video Pretraining	Robotics	9	Pretraining · Embodied AI
Figure AI	Helix AI Engineer, Generative AI	Robotics	9	Synthetic data · Fine-tuning · Vision · Model serving · Embodied AI
Waabi	Research Engineer, World Models	Robotics	9	Vision · Fine-tuning · Model serving · Inference infra
Waabi	Research Scientist, World Models	Robotics	9	Frontier research · Model serving · Fine-tuning
Applied Intuition	Research Scientist - 3D Vision and Generation, Self-Driving	Robotics	9	Vision · Frontier research · Pretraining
Applied Intuition	Research Engineer - 3D Vision and Generation, Self-Driving	Robotics	9	Vision · Frontier research · Pretraining
Applied Intuition	Research Intern - World-Action Foundation Model, Robotics	Robotics	9	Frontier research · Pretraining · Vision
Applied Intuition	Research Intern - 3D Vision and Generation, Self-Driving	Robotics	9	Vision · Frontier research
Applied Intuition	Research Engineer - Robot Learning	Robotics	9	RL robotics · Embodied AI · Fine-tuning
Applied Intuition	Research Scientist - World-Action Foundation Model, Robotics	Robotics	9	Frontier research · Pretraining · Vision
Nuro	Senior ML Research Scientist, End-to-End Autonomous Driving	Robotics	9	Embodied AI
Wayve	Tech Lead, Wayve Labs	Robotics	9	Embodied AI · Model serving · Inference infra
Nuro	Staff ML Research Scientist	Robotics	9	Frontier research · RL robotics · Embodied AI · Model serving
Nuro	Lead ML Research Scientist	Robotics	9	Model serving · Inference infra
Applied Intuition	Research Engineer - AI/RL Infrastructure	Robotics	9	Training infra · Evals
Nuro	Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning	Robotics	9	Model serving
Nuro	Machine Learning Research Scientist: Generative Modeling for Planning	Robotics	9	Agent orchestration · Frontier research · Fine-tuning · LLM observability
Applied Intuition	Robotics Engineer, Technical Lead	Robotics	8	Embodied AI · Fine-tuning · Model serving · Vision

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.