Ray jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Ray appears in 582 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Ray, with demand up 11% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Ray
+Is Ray in demand in 2026?
Yes. Ray appears in 582 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand up 11% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning Ray (19.1% of all postings mentioning Ray).
+What jobs require Ray?
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 Ray are Machine Learning Systems Engineer (48.1% of that role’s postings mention Ray), Machine Learning Infrastructure Engineer (18.2% of that role’s postings mention Ray), ML Ops Engineer (12.2% of that role’s postings mention Ray).
+What skills are commonly paired with Ray?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Ray most often appears alongside Python, Kubernetes, PyTorch, Spark, AWS.
+Where is Ray most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Ray are San Francisco, London, New York City, Sunnyvale, Singapore, according to the Skillenai jobs index.
+How can I keep up with new Ray content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Ray alongside the jobs index. You can subscribe to a daily email digest of new Ray content from your Skillenai account.
Weekly job postings requiring Ray — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Ray
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Machine Learning Systems Engineer | 13 | 48.1% |
| Machine Learning Infrastructure Engineer | 6 | 18.2% |
| ML Ops Engineer | 5 | 12.2% |
| ML Systems Engineer | 4 | 10.0% |
| Software Development Test Engineer | 3 | 9.7% |
| AI Infrastructure Engineer | 5 | 7.4% |
| Data Infrastructure Engineer | 2 | 6.9% |
| ML Scientist | 2 | 6.9% |
| Machine Learning Research Engineer | 2 | 5.9% |
| AI Research Engineer | 5 | 5.2% |
Roles with the most Ray postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 111 | 19.1% |
| Machine Learning Engineer | 110 | 18.9% |
| ML Engineer | 38 | 6.5% |
| Data Scientist | 16 | 2.7% |
| Data Engineer | 15 | 2.6% |
| Research Engineer | 15 | 2.6% |
| Machine Learning Systems Engineer | 13 | 2.2% |
| Engineering Manager | 9 | 1.5% |
| Principal Engineer | 8 | 1.4% |
| Site Reliability Engineer | 8 | 1.4% |
Top metros hiring for Ray
| Name | Postings | Share |
|---|---|---|
| San Francisco | 66 | 11.3% |
| London | 27 | 4.6% |
| New York City | 27 | 4.6% |
| Sunnyvale | 23 | 4.0% |
| Singapore | 18 | 3.1% |
| Bengaluru | 17 | 2.9% |
| Palo Alto | 17 | 2.9% |
| Mountain View | 14 | 2.4% |
| San Jose | 13 | 2.2% |
Skills commonly paired with Ray
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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 Ray by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Ray postings by all Ray 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
- 15c5d5d227a9e23e
- 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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