247 AI roles tagged multimodal.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Unity | Staff Machine Learning Engineer - Computer Vision & Multi-Modal AI | Enterprise | 9 | Model serving · Inference infra · Fine-tuning · Quantization |
| Adobe | Staff Agentic ML Engineer - Photoshop | Enterprise | 9 | Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · Vision · RL post-training · Reward modeling |
| Axon | Senior Agentic AI Research Scientist | Enterprise | 9 | Agent orchestration · Vision · RAG · Vector DB · Inference infra · Model serving · Evals |
| Oracle | Applied Scientist 3 | Enterprise | 9 | Synthetic data · Evals · Fine-tuning · LLM observability |
| Adobe | Applied Scientist 5.5 | Enterprise | 9 | Fine-tuning · Inference infra · Model serving · Evals |
| Adobe | Applied Scientist 5 | Enterprise | 9 | Fine-tuning · Model serving · Inference infra · Vision |
| Oracle | Snr Director, Applied Science | Enterprise | 9 | Agent orchestration · Model serving · Inference infra · RAG · Evals · Guardrails · LLM observability · Vision · Audio & speech |
| MongoDB | Staff Research Scientist | Enterprise | 9 | Frontier research · Pretraining · RAG · Agent research |
| Handshake | AI Red Teamer, LLM Generalist | Enterprise | 9 | Evals · Guardrails · LLM observability · Agent orchestration · Agent research |
| Axon | AI Scientist I | Enterprise | 9 | Vision · Fine-tuning · Inference infra · Model serving |
| ABBYY | Principal Machine Learning Engineer - Model Efficiency Optimization | Enterprise | 9 | Model serving · Inference infra · Fine-tuning · Quantization · Vision |
| Adobe | Director, ML Engineering | Enterprise | 9 | Model serving · Inference infra |
| Adobe | Sr Applied Scientist, Generative AI/ML | Enterprise | 9 | Fine-tuning · Pretraining · Model serving · Vision · Audio & speech |
| Adobe | Staff Applied Scientist | Enterprise | 9 | Pretraining · Vision · Fine-tuning · Model serving |
| Samsara | AI / Computer Vision (IC) | Enterprise | 9 | Model serving |
| Adobe | Research Scientist | Enterprise | 9 | Frontier research |
| Workday | Principal AI Researcher | Enterprise | 9 | Frontier research · Pretraining · RL post-training · Agent research · Agent orchestration · LLM observability · Guardrails |
| Adobe | Director, Engineering – Agentic Product | Enterprise | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability |
| Canva | Senior Research Engineer - Video | Enterprise | 9 | Fine-tuning · Model serving · Inference infra · Vision |
| Adobe | Machine Learning Engineer 5 | Enterprise | 9 | Fine-tuning · Model serving · Inference infra · Evals |
| Adobe | Senior Research Engineer, Generative Prototyping | Enterprise | 9 | Agent orchestration · Model serving · Fine-tuning |
| Adobe | Machine Learning Engineer 4 | Enterprise | 9 | Model serving · Inference infra · Fine-tuning |
| Adobe | Staff Applied Scientist - AI Guardrails | Enterprise | 9 | Guardrails · Model serving · Evals · Fine-tuning |
| Adobe | Research Scientist | Enterprise | 9 | Frontier research · Fine-tuning · Model serving · Evals |
| Adobe | Staff Applied Scientist, Generative AI/ML | Enterprise | 9 | Pretraining · Fine-tuning · Model serving · Frontier research · Vision · Audio & speech |
| Adobe | Senior Machine Learning Engineer | Enterprise | 9 | Model serving · Fine-tuning · Vision · Audio & speech · Inference infra |
| Adobe | Machine Learning Engineer - II | Enterprise | 9 | Model serving · Fine-tuning · Inference infra |
| F5 | Principal Engineer – AI Specialist | Enterprise | 9 | Agent orchestration · Agent research · LLM observability · Inference infra · Model serving |
| Adobe | Principal Scientist, Generation Data Architect (Image & Video & Audio) | Enterprise | 9 | Synthetic data · Fine-tuning · Vision · Audio & speech |
| Adobe | AI Software Architect, Forward Deployed | Enterprise | 9 | Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving |
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).