Recommender systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-21, Recommender systems appears in 172 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 16% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-21
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Frequently asked questions about Recommender systems
+Is Recommender systems in demand in 2026?
Yes. Recommender systems appears in 172 job postings indexed by Skillenai over the 90 days ending 2026-09-21, with demand down 16% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (26% of Machine Learning Engineer postings list it).
+What jobs require Recommender systems?
According to the Skillenai jobs index over the 90 days ending 2026-09-21, the job titles most likely to require Recommender systems are Machine Learning Engineer (26% of postings list Recommender systems), Data Scientist (18% of postings list Recommender systems), Engineering Manager (5% of postings list Recommender systems).
+What skills are commonly paired with Recommender systems?
Across job postings indexed by Skillenai (90 days ending 2026-09-21), Recommender systems most often appears alongside machine learning, Python, PyTorch, deep learning, SQL.
+Where is Recommender systems most in demand?
As of 2026-09-21, the metro areas posting the most jobs requiring Recommender systems are San Francisco, Toronto, Mountain View, Amsterdam, London, according to the Skillenai jobs index.
+How can I keep up with new Recommender systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Recommender systems alongside the jobs index. You can subscribe to a daily email digest of new Recommender systems content from your Skillenai account.
Weekly job postings requiring Recommender systems — last 90 days
Job titles most likely to require Recommender systems
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 45 | 26.2% |
| Data Scientist | 31 | 18.0% |
| Engineering Manager | 9 | 5.2% |
| AI Engineer | 8 | 4.7% |
| Applied Researcher | 8 | 4.7% |
| Machine Learning Manager | 7 | 4.1% |
| Applied AI/ML Scientist | 6 | 3.5% |
| Product Manager | 6 | 3.5% |
| Applied Scientist | 5 | 2.9% |
| Data Science Manager | 3 | 1.7% |
Top metros hiring for Recommender systems
| Name | Postings | Share |
|---|---|---|
| San Francisco | 20 | 11.6% |
| Toronto | 13 | 7.6% |
| Mountain View | 12 | 7.0% |
| Amsterdam | 7 | 4.1% |
| London | 7 | 4.1% |
| New York City | 6 | 3.5% |
| Bengaluru | 4 | 2.3% |
| Chicago | 4 | 2.3% |
| Denver | 4 | 2.3% |
Skills commonly paired with Recommender systems
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-21. 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
- 7292940e6df817f9
- data_as_of
- 2026-09-21
- 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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