Experiment tracking jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, Experiment tracking appears in 261 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 54% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about Experiment tracking
+Is Experiment tracking in demand in 2026?
Yes. Experiment tracking appears in 261 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 54% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (16% of Machine Learning Engineer postings list it).
+What jobs require Experiment tracking?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require Experiment tracking are Machine Learning Engineer (16% of postings list Experiment tracking), ML Engineer (14% of postings list Experiment tracking), Research Engineer (6% of postings list Experiment tracking).
+What skills are commonly paired with Experiment tracking?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), Experiment tracking most often appears alongside Python, machine learning, MLOps, PyTorch, CI/CD.
+Where is Experiment tracking most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring Experiment tracking are San Francisco, New York City, London, Cambridge, Seattle, according to the Skillenai jobs index.
+How can I keep up with new Experiment tracking content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Experiment tracking alongside the jobs index. You can subscribe to a daily email digest of new Experiment tracking content from your Skillenai account.
Weekly job postings requiring Experiment tracking — last 90 days
Job titles most likely to require Experiment tracking
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 42 | 16.1% |
| ML Engineer | 37 | 14.2% |
| Research Engineer | 17 | 6.5% |
| Data Scientist | 12 | 4.6% |
| Software Engineer | 11 | 4.2% |
| MLOps Engineer | 9 | 3.4% |
| ML Infrastructure Engineer | 7 | 2.7% |
| Product Manager | 7 | 2.7% |
| AI Engineer | 6 | 2.3% |
| AI/ML Engineer | 4 | 1.5% |
Top metros hiring for Experiment tracking
| Name | Postings | Share |
|---|---|---|
| San Francisco | 23 | 28.7% |
| New York City | 22 | 27.5% |
| London | 9 | 11.3% |
| Cambridge | 5 | 6.3% |
| Seattle | 5 | 6.3% |
| Austin | 4 | 5.0% |
| Bengaluru | 4 | 5.0% |
| Berlin | 4 | 5.0% |
| Boston | 4 | 5.0% |
Skills commonly paired with Experiment tracking
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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
- 73b6580fe6ab4f37
- 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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