experiment tracking jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-16, experiment tracking appears in 371 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 39% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-16
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Frequently asked questions about experiment tracking
+Is experiment tracking in demand in 2026?
Yes. experiment tracking appears in 371 job postings indexed by Skillenai over the 90 days ending 2026-09-16, with demand down 39% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (17% of Machine Learning Engineer postings list it).
+What jobs require experiment tracking?
According to the Skillenai jobs index over the 90 days ending 2026-09-16, the job titles most likely to require experiment tracking are Machine Learning Engineer (17% of postings list experiment tracking), Software Engineer (10% of postings list experiment tracking), Data Scientist (8% of postings list experiment tracking).
+What skills are commonly paired with experiment tracking?
Across job postings indexed by Skillenai (90 days ending 2026-09-16), experiment tracking most often appears alongside Python, PyTorch, CI/CD, MLOps, machine learning.
+Where is experiment tracking most in demand?
As of 2026-09-16, the metro areas posting the most jobs requiring experiment tracking are San Francisco, New York City, Bengaluru, Boston, Paris, 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
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require experiment tracking
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 63 | 17.0% |
| Software Engineer | 39 | 10.5% |
| Data Scientist | 28 | 7.5% |
| ML Engineer | 24 | 6.5% |
| AI/ML Engineer | 13 | 3.5% |
| MLOps Engineer | 13 | 3.5% |
| Algorithm Engineer | 10 | 2.7% |
| AI Engineer | 9 | 2.4% |
| Solutions Architect | 7 | 1.9% |
| Applied Research Engineer | 6 | 1.6% |
Top metros hiring for experiment tracking
| Name | Postings | Share |
|---|---|---|
| San Francisco | 25 | 6.7% |
| New York City | 20 | 5.4% |
| Bengaluru | 11 | 3.0% |
| Boston | 11 | 3.0% |
| Paris | 11 | 3.0% |
| London | 7 | 1.9% |
| Mountain View | 7 | 1.9% |
| Toronto | 7 | 1.9% |
| San Jose | 6 | 1.6% |
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 2026-09-16. 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
- 2026-09-16
- 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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