Reinforcement learning jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-06, Reinforcement learning appears in 1,594 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand up 1% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-06
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Frequently asked questions about Reinforcement learning
+Is Reinforcement learning in demand in 2026?
Yes. Reinforcement learning appears in 1,594 job postings indexed by Skillenai over the 90 days ending 2026-09-06, with demand up 1% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (14% of Machine Learning Engineer postings list it).
+What jobs require Reinforcement learning?
According to the Skillenai jobs index over the 90 days ending 2026-09-06, the job titles most likely to require Reinforcement learning are Machine Learning Engineer (14% of postings list Reinforcement learning), Software Engineer (8% of postings list Reinforcement learning), Research Engineer (8% of postings list Reinforcement learning).
+What skills are commonly paired with Reinforcement learning?
Across job postings indexed by Skillenai (90 days ending 2026-09-06), Reinforcement learning most often appears alongside Python, machine learning, PyTorch, deep learning, TensorFlow.
+Where is Reinforcement learning most in demand?
As of 2026-09-06, the metro areas posting the most jobs requiring Reinforcement learning are San Francisco, New York City, Mountain View, London, Sunnyvale, according to the Skillenai jobs index.
+How can I keep up with new Reinforcement learning content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Reinforcement learning alongside the jobs index. You can subscribe to a daily email digest of new Reinforcement learning content from your Skillenai account.
Weekly job postings requiring Reinforcement learning — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require Reinforcement learning
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 227 | 14.2% |
| Software Engineer | 133 | 8.3% |
| Research Engineer | 128 | 8.0% |
| Research Scientist | 109 | 6.8% |
| ML Engineer | 86 | 5.4% |
| Data Scientist | 69 | 4.3% |
| AI Engineer | 56 | 3.5% |
| Applied Scientist | 32 | 2.0% |
| AI Researcher | 23 | 1.4% |
| Product Manager | 22 | 1.4% |
Top metros hiring for Reinforcement learning
| Name | Postings | Share |
|---|---|---|
| San Francisco | 247 | 15.5% |
| New York City | 107 | 6.7% |
| Mountain View | 78 | 4.9% |
| London | 66 | 4.1% |
| Sunnyvale | 51 | 3.2% |
| Seattle | 47 | 2.9% |
| Munich | 45 | 2.8% |
| San Jose | 42 | 2.6% |
| Santa Clara | 33 | 2.1% |
Skills commonly paired with Reinforcement learning
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-06. 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
- df034df3eb79e2e3
- data_as_of
- 2026-09-06
- 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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