multimodal models jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, multimodal models appears in 217 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 57% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about multimodal models
+Is multimodal models in demand in 2026?
Yes. multimodal models appears in 217 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 57% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (10% of Machine Learning Engineer postings list it).
+What jobs require multimodal models?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require multimodal models are Machine Learning Engineer (10% of postings list multimodal models), Data Scientist (10% of postings list multimodal models), Research Scientist (9% of postings list multimodal models).
+What skills are commonly paired with multimodal models?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), multimodal models most often appears alongside Python, machine learning, PyTorch, LLMs, data pipelines.
+Where is multimodal models most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring multimodal models are San Francisco, New York City, Dubai, Palo Alto, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new multimodal models content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning multimodal models alongside the jobs index. You can subscribe to a daily email digest of new multimodal models content from your Skillenai account.
Weekly job postings requiring multimodal models — last 90 days
Job titles most likely to require multimodal models
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 22 | 10.1% |
| Data Scientist | 21 | 9.7% |
| Research Scientist | 20 | 9.2% |
| Software Engineer | 18 | 8.3% |
| AI/ML Engineer | 17 | 7.8% |
| ML Engineer | 8 | 3.7% |
| Research Engineer | 8 | 3.7% |
| Applied AI Engineer | 7 | 3.2% |
| Applied Scientist | 6 | 2.8% |
| AI Engineer | 5 | 2.3% |
Top metros hiring for multimodal models
| Name | Postings | Share |
|---|---|---|
| San Francisco | 40 | 30.8% |
| New York City | 23 | 17.7% |
| Dubai | 19 | 14.6% |
| Palo Alto | 11 | 8.5% |
| Mountain View | 9 | 6.9% |
| London | 8 | 6.2% |
| San Mateo | 8 | 6.2% |
| Cambridge | 6 | 4.6% |
| Sunnyvale | 6 | 4.6% |
Skills commonly paired with multimodal models
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 2e86d8b9c0da3bc7
- data_as_of
- 2026-05-17
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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