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.
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).
The companies with the most active Multimodal listings are: Amazon (227 roles), Google (104 roles), NVIDIA (80 roles), Adobe (77 roles), Apple (41 roles).
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%).
The sectors with the most active Multimodal hiring are: Big Tech, Enterprise, Semiconductors.
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).
6 AI roles tagged multimodal.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Verizon | Princ Engr-AI Science | Telecom | 8 | Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving · Inference infra · LLM observability |
| Verizon | Engr III Cslt-AI Science | Telecom | 8 | Model serving · Inference infra |
| T-Mobile | Sr Engineer, Machine Learning Engineering | Telecom | 8 | Agent orchestration · RAG · Fine-tuning · Model serving · LLM observability · Evals |
| AT&T | Lead Technical Product Manager – Applied AI | Telecom | 7 | Agent orchestration · Tool use · Evals · LLM observability · RAG |
| AT&T | Senior Full Stack/AI Engineer | Telecom | 5 | LLM observability · Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Vision · Audio & speech · Frontier research · Interpretability · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI · Code gen |
| AT&T | Full-Stack Software Engineer | Telecom | 5 | Agent orchestration · Tool use · LLM observability · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Vision · Audio & speech · Frontier research · Interpretability · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI · Code gen |