DPO jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, DPO appears in 214 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning DPO, with demand down 43% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about DPO
+Is DPO in demand in 2026?
Yes. DPO appears in 214 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 43% vs the prior 4 weeks. Machine Learning Engineer accounts for the most postings mentioning DPO (13.6% of all postings mentioning DPO).
+What jobs require DPO?
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 DPO are Deployed Engineer (52.4% of that role’s postings mention DPO), Applied ML Engineer (9.5% of that role’s postings mention DPO), Applied Research Engineer (8.0% of that role’s postings mention DPO).
+What skills are commonly paired with DPO?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), DPO most often appears alongside RLHF, Python, SFT, PyTorch, fine-tuning.
+Where is DPO most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring DPO are San Francisco, London, New York City, Singapore, Boston, according to the Skillenai jobs index.
+How can I keep up with new DPO content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning DPO alongside the jobs index. You can subscribe to a daily email digest of new DPO content from your Skillenai account.
Weekly job postings requiring DPO — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require DPO
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Deployed Engineer | 11 | 52.4% |
| Applied ML Engineer | 2 | 9.5% |
| Applied Research Engineer | 2 | 8.0% |
| Developer Relations Manager | 2 | 5.7% |
| AI Research Intern | 1 | 4.5% |
| ML Research Engineer | 2 | 4.2% |
| AI Research Scientist | 3 | 3.8% |
| AI Researcher | 4 | 3.4% |
| Applied Scientist | 8 | 3.2% |
| ML Researcher | 1 | 3.1% |
Roles with the most DPO postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 29 | 13.6% |
| Research Scientist | 21 | 9.8% |
| ML Engineer | 15 | 7.0% |
| AI Field Engineer | 14 | 6.5% |
| Deployed Engineer | 11 | 5.1% |
| AI/LLM Engineer | 9 | 4.2% |
| Research Engineer | 9 | 4.2% |
| Software Engineer | 9 | 4.2% |
| Applied Scientist | 8 | 3.7% |
| AI Engineer | 7 | 3.3% |
Top metros hiring for DPO
| Name | Postings | Share |
|---|---|---|
| San Francisco | 23 | 10.7% |
| London | 18 | 8.4% |
| New York City | 13 | 6.1% |
| Singapore | 13 | 6.1% |
| Boston | 7 | 3.3% |
| Munich | 7 | 3.3% |
| San Jose | 7 | 3.3% |
| San Mateo | 7 | 3.3% |
| Mountain View | 5 | 2.3% |
Skills commonly paired with DPO
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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 DPO by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s DPO postings by all DPO 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
- f65fb75a96ad747d
- 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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