model inference jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, model inference appears in 142 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning model inference.
Last updated · 90d ending 2026-10-29
Which roles want model inference?
Upload your resume and Skillenai will show which roles your model inference experience fits, which skills you already cover, and what is missing.
Frequently asked questions about model inference
+Is model inference in demand in 2026?
Yes. model inference appears in 142 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning model inference (19.7% of all postings mentioning model inference).
+What jobs require model inference?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning model inference are Research Fellow (5.0% of that role’s postings mention model inference), AI Inference Engineer (4.8% of that role’s postings mention model inference), Machine Learning Systems Engineer (4.8% of that role’s postings mention model inference).
+What skills are commonly paired with model inference?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), model inference most often appears alongside Python, model training, machine learning, data pipelines, PyTorch.
+Where is model inference most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring model inference are San Francisco, New York City, Bangkok, Seattle, San Jose, according to the Skillenai jobs index.
+How can I keep up with new model inference content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning model inference alongside the jobs index. You can subscribe to a daily email digest of new model inference content from your Skillenai account.
+Which skills come before and after model inference?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring model inference — last 90 days
Career paths around model inference
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before model inference
Skills after model inference
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: Natural Language Processing | 1 |
| Before: microservice architecture | 1 |
| Before: react.js | 1 |
| Before: Python Flask | 1 |
| Before: MongoDB | 1 |
| Before: sentiment analysis | 1 |
| Before: pytorch | 1 |
| After: Certified Associate Configurator Exam | 1 |
| After: C# | 1 |
| After: Data ingestion | 1 |
| After: RBAC | 1 |
| After: async/await | 1 |
| After: data pipelines | 1 |
| After: AWS | 1 |
| After: data processing | 1 |
Roles most likely to require model inference
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Research Fellow | 1 | 5.0% |
| AI Inference Engineer | 1 | 4.8% |
| Machine Learning Systems Engineer | 1 | 4.8% |
| Machine Learning Manager | 1 | 4.5% |
| Product Management Director | 1 | 4.5% |
| Postdoctoral Researcher | 1 | 4.3% |
| Developer Experience Engineer | 1 | 4.0% |
| Software Development Test Engineer | 1 | 3.4% |
| AI Solution Engineer | 1 | 3.2% |
| ML Ops Engineer | 1 | 2.7% |
Roles with the most model inference postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 28 | 19.7% |
| Machine Learning Engineer | 22 | 15.5% |
| ML Engineer | 12 | 8.5% |
| AI Engineer | 7 | 4.9% |
| Technical Program Manager | 4 | 2.8% |
| AI/ML Platform Engineer | 3 | 2.1% |
| Data Scientist | 3 | 2.1% |
| Engineering Manager | 3 | 2.1% |
| AI Solutions Architect | 2 | 1.4% |
| Forward Deployed Engineer | 2 | 1.4% |
Top companies posting jobs requiring model inference
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Sertis | 8 |
| Mercor | 6 |
| OpenAI | 4 |
| G-Research | 4 |
| Scale AI | 4 |
| Frame.io | 4 |
| Wayve | 3 |
| Hive | 2 |
| HP | 2 |
| Torcrobotics | 2 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for model inference
| Name | Postings | Share |
|---|---|---|
| San Francisco | 15 | 10.6% |
| New York City | 9 | 6.3% |
| Bangkok | 8 | 5.6% |
| Seattle | 7 | 4.9% |
| San Jose | 5 | 3.5% |
| London | 4 | 2.8% |
| Palo Alto | 3 | 2.1% |
| Austin | 2 | 1.4% |
| Budapest | 2 | 1.4% |
Skills commonly paired with model inference
Explore related pages
- Research Fellow
- AI Inference Engineer
- Machine Learning Systems Engineer
- Machine Learning Manager
- Product Management Director
- Postdoctoral Researcher
- Developer Experience Engineer
- Software Development Test Engineer
- Python
- model training
- machine learning
- data pipelines
- PyTorch
- Distributed systems
- MLOps
- model deployment
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 model inference by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s model inference postings by all model inference 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 14d248e120bed9c6
- data_as_of
- 2026-10-29
- window_days
- 90