distributed training jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, distributed training appears in 664 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning distributed training, with demand up 21% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about distributed training
+Is distributed training in demand in 2026?
Yes. distributed training appears in 664 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand up 21% vs the prior 4 weeks. Machine Learning Engineer accounts for the most postings mentioning distributed training (17.8% of all postings mentioning distributed training).
+What jobs require distributed training?
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 distributed training are Machine Learning Infrastructure Engineer (54.5% of that role’s postings mention distributed training), Applied Research Engineer (48.0% of that role’s postings mention distributed training), Applied ML Engineer (38.1% of that role’s postings mention distributed training).
+What skills are commonly paired with distributed training?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), distributed training most often appears alongside PyTorch, Python, JAX, machine learning, TensorFlow.
+Where is distributed training most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring distributed training are San Francisco, London, New York City, Mountain View, Seattle, 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
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require distributed training
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Machine Learning Infrastructure Engineer | 18 | 54.5% |
| Applied Research Engineer | 12 | 48.0% |
| Applied ML Engineer | 8 | 38.1% |
| ML Research Engineer | 13 | 27.1% |
| ML Scientist | 6 | 20.7% |
| Machine Learning Researcher | 8 | 20.5% |
| Applied Research Scientist | 5 | 19.2% |
| ML Infrastructure Engineer | 9 | 18.8% |
| Machine Learning Systems Engineer | 5 | 18.5% |
| Machine Learning Research Engineer | 5 | 14.7% |
Roles with the most distributed training postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 118 | 17.8% |
| ML Engineer | 60 | 9.0% |
| Research Engineer | 53 | 8.0% |
| Research Scientist | 31 | 4.7% |
| Software Engineer | 28 | 4.2% |
| Machine Learning Infrastructure Engineer | 18 | 2.7% |
| ML Research Engineer | 13 | 2.0% |
| AI Researcher | 12 | 1.8% |
| Applied Research Engineer | 12 | 1.8% |
| Applied Scientist | 11 | 1.7% |
Top metros hiring for distributed training
| Name | Postings | Share |
|---|---|---|
| San Francisco | 82 | 12.3% |
| London | 41 | 6.2% |
| New York City | 37 | 5.6% |
| Mountain View | 34 | 5.1% |
| Seattle | 23 | 3.5% |
| San Jose | 19 | 2.9% |
| Singapore | 19 | 2.9% |
| Sunnyvale | 18 | 2.7% |
| Palo Alto | 12 | 1.8% |
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 2026-09-28. 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 distributed training by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s distributed training postings by all distributed training 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
- 286c07130d80afe5
- 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.
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