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).
31 AI roles tagged multimodal.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| JPMorgan Chase | Applied Machine Learning Scientist - Vice President | Banking | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Fine-tuning · Model serving · Recommender systems · Agent research · RL post-training |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Pretraining · Fine-tuning · RL post-training · Frontier research · Agent research · Agent orchestration · Vector DB · Model serving · Recommender systems |
| JPMorgan Chase | Generative AI Executive Director | Banking | 9 | Agent orchestration · Fine-tuning · Inference infra · Model serving |
| JPMorgan Chase | Generative AI - Vice President | Banking | 9 | Agent orchestration · LLM observability · Model serving · Inference infra · Fine-tuning |
| JPMorgan Chase | Machine Learning Scientist - Vice President | Banking | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · RAG · Fine-tuning · Model serving · Recommender systems · RL post-training |
| JPMorgan Chase | Generative AI Director | Banking | 9 | LLM observability · Agent orchestration · Tool use · Fine-tuning · Model serving · Inference infra · Vision · Audio & speech |
| Capital One | Lead AI Engineer (Vision model customization, VLM) | Banking | 8 | Vision · Inference infra · Model serving · Fine-tuning · RAG · Vector DB · Guardrails · LLM observability |
| Capital One | Director, Data Scientist | Banking | 8 | Vision |
| JPMorgan Chase | Applied AI/ML Lead | Banking | 8 | Vision · Fine-tuning · Inference infra · Model serving · RAG · LLM observability |
| JPMorgan Chase | Data Scientist Lead | Banking | 8 | Vision · Fine-tuning · Model serving · Inference infra · RAG · Evals |
| Capital One | Sr. Distinguished AI Engineer | Banking | 8 | Model serving · Inference infra · LLM observability · Guardrails · Vector DB · Fine-tuning |
| JPMorgan Chase | Generative AI - Lead | Banking | 8 | Model serving · Inference infra · LLM observability · Fine-tuning |
| JPMorgan Chase | Generative AI - Senior Associate | Banking | 8 | Model serving · Inference infra |
| Capital One | Director, Data Scientist - Generative AI Systems | Banking | 8 | LLM observability · RAG · Vector DB · Fine-tuning · Model serving · Vision |
| JPMorgan Chase | Principal Architect: Transformative AI | Banking | 8 | Agent orchestration · Model serving · Guardrails · Evals |
| Capital One | Senior Manager, Data Scientist - US Card (Generative AI Systems) | Banking | 8 | Vision · Model serving · Fine-tuning · Evals |
| JPMorgan Chase | Software Engineer II - UX Designer | Banking | 7 | Agent orchestration · LLM observability · RAG · Model serving |
| Capital One | Lead Data Scientist (Model Developer) / Deep Learning Practitioner | Banking | 7 | |
| Capital One | Data Scientist / Statistician (Model Developer) | Banking | 7 | |
| Capital One | Senior Associate, Data Scientist - US Card (Applied GenAI) | Banking | 7 | LLM observability · RAG · Fine-tuning · Model serving · Vision · Agent orchestration · Tool use |
| Capital One | Principal Associate, Data Scientist - US Card (Generative AI Systems) | Banking | 7 | Model serving · Fine-tuning |
| JPMorgan Chase | AI Analytics Solutions Manager | Banking | 7 | Agent orchestration · Fine-tuning · Inference infra · Model serving · RAG · Vision |
| Capital One | Principal Associate, Data Scientist - US Card (Generative AI Systems) | Banking | 7 | Model serving · Fine-tuning |
| JPMorgan Chase | Vice President-AI Cognitive Engineer Lead | Banking | 7 | Agent orchestration · Evals |
| JPMorgan Chase | Applied AI ML Associate - Payments Operations | Banking | 7 | Model serving · Evals |
| Capital One | Senior Associate, Data Scientist - Model Risk Office | Banking | 7 | LLM observability · RAG · Vector DB · Fine-tuning |
| Capital One | Lead Data Scientist - Deep Learning Practitioner | Banking | 7 | Fine-tuning · LLM observability |
| Capital One | Senior Associate, Product Management - Customer Assist: AI-Ready Tools | Banking | 5 | Agent orchestration · Tool use |
| Capital One | Senior Associate, Product Management - Customer Assist: AI-Ready Tools | Banking | 5 | Agent orchestration · Tool use |
| JPMorgan Chase | UX Conversation Designer, Senior Associate | Banking | 5 | Agent orchestration · LLM observability · RAG |