deep learning jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-17, deep learning appears in 2,306 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 30% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-17
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Frequently asked questions about deep learning
+Is deep learning in demand in 2026?
Yes. deep learning appears in 2,306 job postings indexed by Skillenai over the 90 days ending 2026-08-17, with demand down 30% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (18% of Machine Learning Engineer postings list it).
+What jobs require deep learning?
According to the Skillenai jobs index over the 90 days ending 2026-08-17, the job titles most likely to require deep learning are Machine Learning Engineer (18% of postings list deep learning), Data Scientist (14% of postings list deep learning), ML Engineer (8% of postings list deep learning).
+What skills are commonly paired with deep learning?
Across job postings indexed by Skillenai (90 days ending 2026-08-17), deep learning most often appears alongside Python, machine learning, PyTorch, TensorFlow, SQL.
+Where is deep learning most in demand?
As of 2026-08-17, the metro areas posting the most jobs requiring deep learning are New York City, San Francisco, Bengaluru, London, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new deep learning content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning deep learning alongside the jobs index. You can subscribe to a daily email digest of new deep learning content from your Skillenai account.
Weekly job postings requiring deep learning — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require deep learning
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 416 | 18.0% |
| Data Scientist | 315 | 13.7% |
| ML Engineer | 173 | 7.5% |
| Applied Scientist | 114 | 4.9% |
| Software Engineer | 99 | 4.3% |
| AI Engineer | 74 | 3.2% |
| Research Scientist | 55 | 2.4% |
| AI Research Engineer | 48 | 2.1% |
| Machine Learning Scientist | 44 | 1.9% |
| Lead Data Scientist | 42 | 1.8% |
Top metros hiring for deep learning
| Name | Postings | Share |
|---|---|---|
| New York City | 120 | 5.2% |
| San Francisco | 109 | 4.7% |
| Bengaluru | 74 | 3.2% |
| London | 74 | 3.2% |
| Mountain View | 66 | 2.9% |
| Seattle | 41 | 1.8% |
| San Jose | 37 | 1.6% |
| Toronto | 36 | 1.6% |
| Singapore | 32 | 1.4% |
Skills commonly paired with deep learning
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-17. 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
- ebc22463248981c5
- data_as_of
- 2026-08-17
- 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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