information retrieval jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-05, information retrieval appears in 467 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand up 140% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-05
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Frequently asked questions about information retrieval
+Is information retrieval in demand in 2026?
Yes. information retrieval appears in 467 job postings indexed by Skillenai over the 90 days ending 2026-09-05, with demand up 140% vs the prior 4 weeks. It is most often required for Software Engineer roles (38% of Software Engineer postings list it).
+What jobs require information retrieval?
According to the Skillenai jobs index over the 90 days ending 2026-09-05, the job titles most likely to require information retrieval are Software Engineer (38% of postings list information retrieval), Machine Learning Engineer (12% of postings list information retrieval), Software Engineering Manager (6% of postings list information retrieval).
+What skills are commonly paired with information retrieval?
Across job postings indexed by Skillenai (90 days ending 2026-09-05), information retrieval most often appears alongside Natural language processing, Python, networking, Distributed computing, large-scale system design.
+Where is information retrieval most in demand?
As of 2026-09-05, the metro areas posting the most jobs requiring information retrieval are Mountain View, New York City, San Francisco, San Jose, Seattle, 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
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require information retrieval
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 176 | 37.7% |
| Machine Learning Engineer | 54 | 11.6% |
| Software Engineering Manager | 28 | 6.0% |
| Data Scientist | 23 | 4.9% |
| AI Engineer | 17 | 3.6% |
| Product Manager | 16 | 3.4% |
| Applied Scientist | 13 | 2.8% |
| ML Engineer | 11 | 2.4% |
| AI Software Engineer | 7 | 1.5% |
| Engineering Manager | 6 | 1.3% |
Top metros hiring for information retrieval
| Name | Postings | Share |
|---|---|---|
| Mountain View | 22 | 4.7% |
| New York City | 22 | 4.7% |
| San Francisco | 20 | 4.3% |
| San Jose | 16 | 3.4% |
| Seattle | 15 | 3.2% |
| London | 10 | 2.1% |
| Warsaw | 9 | 1.9% |
| Toronto | 8 | 1.7% |
| Palo Alto | 7 | 1.5% |
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 2026-09-05. 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
- 2026-09-05
- 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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