information retrieval jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, information retrieval appears in 303 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand down 49% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about information retrieval
+Is information retrieval in demand in 2026?
Yes. information retrieval appears in 303 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 49% vs the prior 4 weeks. It is most often required for Software Engineer roles (16% of Software Engineer postings list it).
+What jobs require information retrieval?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require information retrieval are Software Engineer (16% of postings list information retrieval), Machine Learning Engineer (9% of postings list information retrieval), Data Scientist (7% of postings list information retrieval).
+What skills are commonly paired with information retrieval?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), information retrieval most often appears alongside machine learning, Python, PyTorch, Natural language processing, deep learning.
+Where is information retrieval most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring information retrieval are San Francisco, New York City, Seattle, London, Toronto, according to the Skillenai jobs index.
+How can I keep up with new information retrieval content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning information retrieval alongside the jobs index. You can subscribe to a daily email digest of new information retrieval content from your Skillenai account.
Weekly job postings requiring information retrieval — last 90 days
Job titles most likely to require information retrieval
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 50 | 16.5% |
| Machine Learning Engineer | 26 | 8.6% |
| Data Scientist | 22 | 7.3% |
| AI Engineer | 15 | 5.0% |
| Applied Scientist | 11 | 3.6% |
| Research Engineer | 11 | 3.6% |
| Research Scientist | 11 | 3.6% |
| ML Engineer | 7 | 2.3% |
| Applied Science Manager | 6 | 2.0% |
| Applied AI Researcher | 5 | 1.7% |
Top metros hiring for information retrieval
| Name | Postings | Share |
|---|---|---|
| San Francisco | 34 | 26.8% |
| New York City | 25 | 19.7% |
| Seattle | 17 | 13.4% |
| London | 15 | 11.8% |
| Toronto | 11 | 8.7% |
| Bengaluru | 10 | 7.9% |
| Mountain View | 6 | 4.7% |
| Amsterdam | 5 | 3.9% |
| Bellevue | 4 | 3.1% |
Skills commonly paired with information retrieval
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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
- a37c1b1fb70b5e8f
- 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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