synthetic data generation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-18, synthetic data generation appears in 209 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand up 2% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-18
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Frequently asked questions about synthetic data generation
+Is synthetic data generation in demand in 2026?
Yes. synthetic data generation appears in 209 job postings indexed by Skillenai over the 90 days ending 2026-09-18, with demand up 2% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (10% of Machine Learning Engineer postings list it).
+What jobs require synthetic data generation?
According to the Skillenai jobs index over the 90 days ending 2026-09-18, the job titles most likely to require synthetic data generation are Machine Learning Engineer (10% of postings list synthetic data generation), Research Engineer (10% of postings list synthetic data generation), AI Engineer (7% of postings list synthetic data generation).
+What skills are commonly paired with synthetic data generation?
Across job postings indexed by Skillenai (90 days ending 2026-09-18), synthetic data generation most often appears alongside Python, PyTorch, machine learning, Reinforcement learning, LLMs.
+Where is synthetic data generation most in demand?
As of 2026-09-18, the metro areas posting the most jobs requiring synthetic data generation are San Francisco, London, New York City, Santa Clara, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new synthetic data generation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning synthetic data generation alongside the jobs index. You can subscribe to a daily email digest of new synthetic data generation content from your Skillenai account.
Weekly job postings requiring synthetic data generation — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require synthetic data generation
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 22 | 10.5% |
| Research Engineer | 20 | 9.6% |
| AI Engineer | 15 | 7.2% |
| Software Engineer | 14 | 6.7% |
| Applied Scientist | 10 | 4.8% |
| Data Scientist | 9 | 4.3% |
| AI Research Scientist | 4 | 1.9% |
| ML Engineer | 4 | 1.9% |
| Product Manager | 4 | 1.9% |
| QA Engineer | 4 | 1.9% |
Top metros hiring for synthetic data generation
| Name | Postings | Share |
|---|---|---|
| San Francisco | 30 | 14.4% |
| London | 11 | 5.3% |
| New York City | 10 | 4.8% |
| Santa Clara | 8 | 3.8% |
| Mountain View | 7 | 3.3% |
| Seattle | 7 | 3.3% |
| Sunnyvale | 6 | 2.9% |
| Bengaluru | 4 | 1.9% |
| Bellevue | 3 | 1.4% |
Skills commonly paired with synthetic data generation
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-18. 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
- 6dcd45def9e5f970
- data_as_of
- 2026-09-18
- 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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