JAX jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, JAX appears in 1,061 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning JAX, with demand down 17% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about JAX
+Is JAX in demand in 2026?
Yes. JAX appears in 1,061 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 17% vs the prior 4 weeks. Machine Learning Engineer accounts for the most postings mentioning JAX (20.1% of all postings mentioning JAX).
+What jobs require JAX?
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 JAX are ML Scientist (55.2% of that role’s postings mention JAX), ML Research Engineer (35.4% of that role’s postings mention JAX), ML Platform Engineer (27.7% of that role’s postings mention JAX).
+What skills are commonly paired with JAX?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), JAX most often appears alongside PyTorch, Python, TensorFlow, machine learning, C++.
+Where is JAX most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring JAX are San Francisco, Mountain View, London, New York City, Singapore, according to the Skillenai jobs index.
+How can I keep up with new JAX content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning JAX alongside the jobs index. You can subscribe to a daily email digest of new JAX content from your Skillenai account.
Weekly job postings requiring JAX — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require JAX
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| ML Scientist | 16 | 55.2% |
| ML Research Engineer | 17 | 35.4% |
| ML Platform Engineer | 13 | 27.7% |
| AI Research Engineer | 21 | 21.9% |
| Applied AI Scientist | 6 | 21.4% |
| Machine Learning Research Engineer | 7 | 20.6% |
| Research Intern | 10 | 20.0% |
| AI Security Researcher | 4 | 20.0% |
| Applied Research Scientist | 5 | 19.2% |
| ML Infrastructure Engineer | 9 | 18.8% |
Roles with the most JAX postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 213 | 20.1% |
| ML Engineer | 95 | 9.0% |
| Software Engineer | 77 | 7.3% |
| Research Engineer | 55 | 5.2% |
| Research Scientist | 54 | 5.1% |
| AI Engineer | 22 | 2.1% |
| AI Research Engineer | 21 | 2.0% |
| AI Researcher | 19 | 1.8% |
| ML Research Engineer | 17 | 1.6% |
| Machine Learning Scientist | 17 | 1.6% |
Top metros hiring for JAX
| Name | Postings | Share |
|---|---|---|
| San Francisco | 136 | 12.8% |
| Mountain View | 130 | 12.3% |
| London | 62 | 5.8% |
| New York City | 45 | 4.2% |
| Singapore | 26 | 2.5% |
| Palo Alto | 23 | 2.2% |
| San Jose | 23 | 2.2% |
| Santa Clara | 20 | 1.9% |
| Toronto | 18 | 1.7% |
Skills commonly paired with JAX
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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 JAX by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s JAX postings by all JAX 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
- b5c1f12cc83593eb
- 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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