information retrieval jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, information retrieval appears in 541 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning information retrieval, with demand down 50% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about information retrieval
+Is information retrieval in demand in 2026?
Yes. information retrieval appears in 541 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 50% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning information retrieval (39.6% of all postings mentioning information retrieval).
+What jobs require information retrieval?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning information retrieval are Applied Research Engineer (12.0% of that role’s postings mention information retrieval), Applied ML Engineer (9.5% of that role’s postings mention information retrieval), Principal Data Scientist (5.1% of that role’s postings mention information retrieval).
+What skills are commonly paired with information retrieval?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), 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 2026-09-28, the metro areas posting the most jobs requiring information retrieval are Mountain View, Warsaw, New York City, San Francisco, San Jose, 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
Roles most likely to require information retrieval
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Applied Research Engineer | 3 | 12.0% |
| Applied ML Engineer | 2 | 9.5% |
| Principal Data Scientist | 2 | 5.1% |
| Software Engineering Manager | 36 | 5.1% |
| Machine Learning Engineering Manager | 3 | 5.1% |
| AI Solutions Specialist | 1 | 5.0% |
| Applied Data Scientist | 2 | 4.7% |
| Research Software Engineer | 1 | 4.5% |
| Applied Scientist | 11 | 4.4% |
| Machine Learning Manager | 1 | 4.3% |
Roles with the most information retrieval postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 214 | 39.6% |
| Machine Learning Engineer | 47 | 8.7% |
| Software Engineering Manager | 36 | 6.7% |
| Data Scientist | 35 | 6.5% |
| AI Engineer | 21 | 3.9% |
| Product Manager | 19 | 3.5% |
| Applied Scientist | 11 | 2.0% |
| ML Engineer | 11 | 2.0% |
| AI Software Engineer | 9 | 1.7% |
| Data Science Manager | 5 | 0.9% |
Top metros hiring for information retrieval
| Name | Postings | Share |
|---|---|---|
| Mountain View | 23 | 4.3% |
| Warsaw | 23 | 4.3% |
| New York City | 21 | 3.9% |
| San Francisco | 20 | 3.7% |
| San Jose | 11 | 2.0% |
| London | 10 | 1.8% |
| Seattle | 10 | 1.8% |
| Paris | 9 | 1.7% |
| Bengaluru | 8 | 1.5% |
Skills commonly paired with information retrieval
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Explore related pages
- Applied Research Engineer
- Applied ML Engineer
- Principal Data Scientist
- Software Engineering Manager
- Machine Learning Engineering Manager
- AI Solutions Specialist
- Applied Data Scientist
- Research Software Engineer
- Natural language processing
- Python
- networking
- Distributed computing
- large-scale system design
- security
- machine learning
- data storage
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning information retrieval by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s information retrieval postings by all information retrieval postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- a37c1b1fb70b5e8f
- data_as_of
- 2026-09-28
- 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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