recommendation systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-01, recommendation systems appears in 532 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 15% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-01
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Frequently asked questions about recommendation systems
+Is recommendation systems in demand in 2026?
Yes. recommendation systems appears in 532 job postings indexed by Skillenai over the 90 days ending 2026-09-01, with demand down 15% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (25% of Machine Learning Engineer postings list it).
+What jobs require recommendation systems?
According to the Skillenai jobs index over the 90 days ending 2026-09-01, the job titles most likely to require recommendation systems are Machine Learning Engineer (25% of postings list recommendation systems), Data Scientist (13% of postings list recommendation systems), Product Manager (12% of postings list recommendation systems).
+What skills are commonly paired with recommendation systems?
Across job postings indexed by Skillenai (90 days ending 2026-09-01), recommendation systems most often appears alongside machine learning, Python, SQL, deep learning, experimentation.
+Where is recommendation systems most in demand?
As of 2026-09-01, the metro areas posting the most jobs requiring recommendation systems are San Francisco, New York City, San Jose, London, Seattle, according to the Skillenai jobs index.
+How can I keep up with new recommendation systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning recommendation systems alongside the jobs index. You can subscribe to a daily email digest of new recommendation systems content from your Skillenai account.
Weekly job postings requiring recommendation systems — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require recommendation systems
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 132 | 24.8% |
| Data Scientist | 69 | 13.0% |
| Product Manager | 65 | 12.2% |
| Software Engineer | 41 | 7.7% |
| ML Engineer | 16 | 3.0% |
| AI Engineer | 13 | 2.4% |
| Machine Learning Researcher | 13 | 2.4% |
| Engineering Manager | 11 | 2.1% |
| Machine Learning Scientist | 7 | 1.3% |
| Technical Program Manager | 7 | 1.3% |
Top metros hiring for recommendation systems
| Name | Postings | Share |
|---|---|---|
| San Francisco | 47 | 8.8% |
| New York City | 34 | 6.4% |
| San Jose | 34 | 6.4% |
| London | 22 | 4.1% |
| Seattle | 16 | 3.0% |
| Bengaluru | 12 | 2.3% |
| Singapore | 8 | 1.5% |
| Mountain View | 7 | 1.3% |
| Palo Alto | 7 | 1.3% |
Skills commonly paired with recommendation systems
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-01. 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
- ad28684d3b45ce0d
- data_as_of
- 2026-09-01
- 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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