recommendation systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, recommendation systems appears in 522 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 42% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about recommendation systems
+Is recommendation systems in demand in 2026?
Yes. recommendation systems appears in 522 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 42% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (20% of Machine Learning Engineer postings list it).
+What jobs require recommendation systems?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require recommendation systems are Machine Learning Engineer (20% of postings list recommendation systems), Data Scientist (11% of postings list recommendation systems), Software Engineer (8% of postings list recommendation systems).
+What skills are commonly paired with recommendation systems?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), recommendation systems most often appears alongside machine learning, Python, SQL, A/B testing, experimentation.
+Where is recommendation systems most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring recommendation systems are New York City, San Francisco, London, Bengaluru, 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
Job titles most likely to require recommendation systems
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 103 | 19.7% |
| Data Scientist | 59 | 11.3% |
| Software Engineer | 42 | 8.0% |
| Product Manager | 37 | 7.1% |
| ML Engineer | 20 | 3.8% |
| AI Engineer | 13 | 2.5% |
| Engineering Manager | 12 | 2.3% |
| AI Product Manager | 11 | 2.1% |
| Applied Scientist | 10 | 1.9% |
| Principal Product Manager | 9 | 1.7% |
Top metros hiring for recommendation systems
| Name | Postings | Share |
|---|---|---|
| New York City | 52 | 25.4% |
| San Francisco | 52 | 25.4% |
| London | 29 | 14.1% |
| Bengaluru | 18 | 8.8% |
| Seattle | 14 | 6.8% |
| Toronto | 12 | 5.9% |
| Mountain View | 10 | 4.9% |
| San Jose | 9 | 4.4% |
| Sunnyvale | 9 | 4.4% |
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 2026-05-17. 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
- ad28684d3b45ce0d
- 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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