multimodal models jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-04, multimodal models appears in 224 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 45% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-04
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Frequently asked questions about multimodal models
+Is multimodal models in demand in 2026?
Yes. multimodal models appears in 224 job postings indexed by Skillenai over the 90 days ending 2026-09-04, with demand down 45% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (12% of Machine Learning Engineer postings list it).
+What jobs require multimodal models?
According to the Skillenai jobs index over the 90 days ending 2026-09-04, the job titles most likely to require multimodal models are Machine Learning Engineer (12% of postings list multimodal models), AI Engineer (6% of postings list multimodal models), AI Field Engineer (5% of postings list multimodal models).
+What skills are commonly paired with multimodal models?
Across job postings indexed by Skillenai (90 days ending 2026-09-04), multimodal models most often appears alongside Python, PyTorch, fine-tuning, LLMs, machine learning.
+Where is multimodal models most in demand?
As of 2026-09-04, the metro areas posting the most jobs requiring multimodal models are San Francisco, Sunnyvale, New York City, San Mateo, Singapore, 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
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require multimodal models
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 28 | 12.5% |
| AI Engineer | 13 | 5.8% |
| AI Field Engineer | 11 | 4.9% |
| Software Engineer | 11 | 4.9% |
| Product Manager | 10 | 4.5% |
| Research Scientist | 10 | 4.5% |
| AI Software Engineer | 9 | 4.0% |
| Research Engineer | 7 | 3.1% |
| AI/ML Engineer | 6 | 2.7% |
| Applied Machine Learning Engineer | 6 | 2.7% |
Top metros hiring for multimodal models
| Name | Postings | Share |
|---|---|---|
| San Francisco | 29 | 12.9% |
| Sunnyvale | 16 | 7.1% |
| New York City | 14 | 6.3% |
| San Mateo | 13 | 5.8% |
| Singapore | 12 | 5.4% |
| London | 10 | 4.5% |
| Mountain View | 10 | 4.5% |
| Bengaluru | 6 | 2.7% |
| Metzingen | 4 | 1.8% |
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 2026-09-04. 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
- 2026-09-04
- 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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