distributed training jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, distributed training appears in 745 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 43% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about distributed training
+Is distributed training in demand in 2026?
Yes. distributed training appears in 745 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 43% 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 distributed training?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require distributed training are Machine Learning Engineer (12% of postings list distributed training), Research Engineer (12% of postings list distributed training), ML Engineer (10% of postings list distributed training).
+What skills are commonly paired with distributed training?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), distributed training most often appears alongside PyTorch, Python, machine learning, JAX, deep learning.
+Where is distributed training most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring distributed training are San Francisco, London, New York City, Palo Alto, San Jose, according to the Skillenai jobs index.
+How can I keep up with new distributed training content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning distributed training alongside the jobs index. You can subscribe to a daily email digest of new distributed training content from your Skillenai account.
Weekly job postings requiring distributed training — last 90 days
Job titles most likely to require distributed training
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 86 | 11.5% |
| Research Engineer | 86 | 11.5% |
| ML Engineer | 75 | 10.1% |
| Research Scientist | 43 | 5.8% |
| Software Engineer | 35 | 4.7% |
| Engineering Manager | 14 | 1.9% |
| Machine Learning Researcher | 14 | 1.9% |
| Machine Learning Scientist | 14 | 1.9% |
| ML Infrastructure Engineer | 13 | 1.7% |
| Applied Scientist | 12 | 1.6% |
Top metros hiring for distributed training
| Name | Postings | Share |
|---|---|---|
| San Francisco | 134 | 38.3% |
| London | 60 | 17.1% |
| New York City | 39 | 11.1% |
| Palo Alto | 39 | 11.1% |
| San Jose | 20 | 5.7% |
| Mountain View | 19 | 5.4% |
| Seattle | 15 | 4.3% |
| Paris | 13 | 3.7% |
| San Diego | 11 | 3.1% |
Skills commonly paired with distributed training
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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
- 286c07130d80afe5
- 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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