PyTorch jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-07-06, PyTorch appears in 4,934 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 13% vs the prior 4 weeks.
Last updated · 90d ending 2026-07-06
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Frequently asked questions about PyTorch
+Is PyTorch in demand in 2026?
Yes. PyTorch appears in 4,934 job postings indexed by Skillenai over the 90 days ending 2026-07-06, with demand down 13% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (20% of Machine Learning Engineer postings list it).
+What jobs require PyTorch?
According to the Skillenai jobs index over the 90 days ending 2026-07-06, the job titles most likely to require PyTorch are Machine Learning Engineer (20% of postings list PyTorch), ML Engineer (9% of postings list PyTorch), Data Scientist (8% of postings list PyTorch).
+What skills are commonly paired with PyTorch?
Across job postings indexed by Skillenai (90 days ending 2026-07-06), PyTorch most often appears alongside Python, TensorFlow, machine learning, deep learning, scikit-learn.
+Where is PyTorch most in demand?
As of 2026-07-06, the metro areas posting the most jobs requiring PyTorch are San Francisco, New York City, London, Mountain View, San Jose, according to the Skillenai jobs index.
+How can I keep up with new PyTorch content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning PyTorch alongside the jobs index. You can subscribe to a daily email digest of new PyTorch content from your Skillenai account.
Weekly job postings requiring PyTorch — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require PyTorch
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 974 | 19.7% |
| ML Engineer | 459 | 9.3% |
| Data Scientist | 387 | 7.8% |
| Software Engineer | 325 | 6.6% |
| AI Engineer | 222 | 4.5% |
| Research Engineer | 156 | 3.2% |
| Research Scientist | 144 | 2.9% |
| AI/ML Engineer | 93 | 1.9% |
| Machine Learning Scientist | 70 | 1.4% |
| Applied Scientist | 56 | 1.1% |
Top metros hiring for PyTorch
| Name | Postings | Share |
|---|---|---|
| San Francisco | 287 | 5.8% |
| New York City | 174 | 3.5% |
| London | 153 | 3.1% |
| Mountain View | 131 | 2.7% |
| San Jose | 112 | 2.3% |
| Bengaluru | 94 | 1.9% |
| Seattle | 91 | 1.8% |
| Palo Alto | 86 | 1.7% |
| Singapore | 71 | 1.4% |
Skills commonly paired with PyTorch
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-07-06. 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
- f0109bbf0cbac010
- data_as_of
- 2026-07-06
- 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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