information retrieval jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-07-24, information retrieval appears in 268 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand up 14% vs the prior 4 weeks.
Last updated · 90d ending 2026-07-24
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Frequently asked questions about information retrieval
+Is information retrieval in demand in 2026?
Yes. information retrieval appears in 268 job postings indexed by Skillenai over the 90 days ending 2026-07-24, with demand up 14% vs the prior 4 weeks. It is most often required for Software Engineer roles (23% of Software Engineer postings list it).
+What jobs require information retrieval?
According to the Skillenai jobs index over the 90 days ending 2026-07-24, the job titles most likely to require information retrieval are Software Engineer (23% of postings list information retrieval), Machine Learning Engineer (14% 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 2026-07-24), information retrieval most often appears alongside Python, machine learning, Natural language processing, PyTorch, Java.
+Where is information retrieval most in demand?
As of 2026-07-24, the metro areas posting the most jobs requiring information retrieval are San Francisco, Seattle, Bengaluru, New York City, Palo Alto, 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 | 61 | 22.8% |
| Machine Learning Engineer | 38 | 14.2% |
| Data Scientist | 18 | 6.7% |
| AI Engineer | 13 | 4.9% |
| Applied Scientist | 11 | 4.1% |
| Product Manager | 10 | 3.7% |
| Research Scientist | 9 | 3.4% |
| ML Engineer | 8 | 3.0% |
| Research Engineer | 8 | 3.0% |
| AI Software Engineer | 6 | 2.2% |
Top metros hiring for information retrieval
| Name | Postings | Share |
|---|---|---|
| San Francisco | 23 | 8.6% |
| Seattle | 15 | 5.6% |
| Bengaluru | 12 | 4.5% |
| New York City | 11 | 4.1% |
| Palo Alto | 7 | 2.6% |
| San Jose | 7 | 2.6% |
| Prague | 6 | 2.2% |
| Mountain View | 5 | 1.9% |
| Toronto | 5 | 1.9% |
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 2026-07-24. 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
- 2026-07-24
- 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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