PyTorch jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, PyTorch appears in 5,991 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning PyTorch, with demand down 36% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
Which roles want PyTorch?
Upload your resume and Skillenai will show which roles your PyTorch experience fits, which skills you already cover, and what is missing.
Prepare to discuss PyTorch in your interview
We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used PyTorch.
Frequently asked questions about PyTorch
+Is PyTorch in demand in 2026?
Yes. PyTorch appears in 5,991 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 36% vs the prior 4 weeks. Machine Learning Engineer accounts for the most postings mentioning PyTorch (18.5% of all postings mentioning PyTorch).
+What jobs require PyTorch?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning PyTorch are Applied Researcher (73.8% of that role’s postings mention PyTorch), ML Scientist (69.0% of that role’s postings mention PyTorch), Machine Learning Research Engineer (61.8% of that role’s postings mention PyTorch).
+What skills are commonly paired with PyTorch?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), PyTorch most often appears alongside Python, TensorFlow, machine learning, scikit-learn, deep learning.
+Where is PyTorch most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring PyTorch are San Francisco, New York City, London, Mountain View, Bengaluru, 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
Roles most likely to require PyTorch
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Applied Researcher | 31 | 73.8% |
| ML Scientist | 20 | 69.0% |
| Machine Learning Research Engineer | 21 | 61.8% |
| Applied Research Scientist | 16 | 61.5% |
| AI Research Scientist | 47 | 58.8% |
| Applied AI Scientist | 16 | 57.1% |
| Machine Learning Platform Engineer | 14 | 56.0% |
| ML Research Engineer | 24 | 50.0% |
| Applied Value Engineer | 20 | 50.0% |
| Algorithm Engineer | 17 | 50.0% |
Roles with the most PyTorch postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 1,108 | 18.5% |
| Data Scientist | 576 | 9.6% |
| Software Engineer | 390 | 6.5% |
| ML Engineer | 371 | 6.2% |
| AI Engineer | 361 | 6.0% |
| Research Engineer | 145 | 2.4% |
| AI/ML Engineer | 143 | 2.4% |
| Research Scientist | 130 | 2.2% |
| Applied Scientist | 75 | 1.3% |
| Machine Learning Scientist | 60 | 1.0% |
Top metros hiring for PyTorch
| Name | Postings | Share |
|---|---|---|
| San Francisco | 354 | 5.9% |
| New York City | 220 | 3.7% |
| London | 217 | 3.6% |
| Mountain View | 167 | 2.8% |
| Bengaluru | 146 | 2.4% |
| Sunnyvale | 127 | 2.1% |
| Singapore | 122 | 2.0% |
| San Jose | 115 | 1.9% |
| Santa Clara | 83 | 1.4% |
Skills commonly paired with PyTorch
Get a daily email digest of new PyTorch content
Skillenai indexes news articles, blog posts, and research papers that mention PyTorch. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning PyTorch by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s PyTorch postings by all PyTorch postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- f0109bbf0cbac010
- data_as_of
- 2026-09-28
- 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.
Skillenai for recruiters →