video generation jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-07, video generation appears in 143 job postings indexed by Skillenai over the past 90 days — Research Scientist has the most postings mentioning video generation, with demand share down 23.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-07

Postings · last 90 days
143
Demand vs prior month
down 23.6% vs the prior 4 weeks
Top role · 10.5% of skill postings
Top hiring metro
London

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Frequently asked questions about video generation

+Is video generation in demand in 2026?

Yes. video generation appears in 143 job postings indexed by Skillenai over the 90 days ending 2026-10-07. Research Scientist accounts for the most postings mentioning video generation (10.5% of all postings mentioning video generation).

+What jobs require video generation?

According to the Skillenai jobs index over the 90 days ending 2026-10-07, among roles with at least 20 postings, the highest shares mentioning video generation are Machine Learning Research Scientist (15.0% of that role’s postings mention video generation), Creative Technologist (8.0% of that role’s postings mention video generation), Applied Research Engineer (7.7% of that role’s postings mention video generation).

+What skills are commonly paired with video generation?

Across job postings indexed by Skillenai (90 days ending 2026-10-07), video generation most often appears alongside image generation, Python, PyTorch, Generative AI, diffusion models.

+Where is video generation most in demand?

As of 2026-10-07, the metro areas posting the most jobs requiring video generation are London, Sunnyvale, San Francisco, Mountain View, Santa Clara, according to the Skillenai jobs index.

+How can I keep up with new video generation content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning video generation alongside the jobs index. You can subscribe to a daily email digest of new video generation content from your Skillenai account.

+Which skills come before and after video generation?

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 video generation — last 90 days

Career paths around video generation

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before video generation

Before video generationDiffusion models → video generation: 1 observed employer moves with this skill pairvideogenerationDiffusion models: 1 movesDiffusion models1 moves

Skills after video generation

After video generationvideo generation → Zero-shot object detection: 1 observed employer moves with this skill pairvideogenerationZero-shot object detection: 1 movesZero-shot objectdetection1 moves
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.

Observed connections and move counts
ConnectionMoves
Before: Diffusion models1
After: Zero-shot object detection1

Roles most likely to require video generation

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Machine Learning Research Scientist315.0%
Creative Technologist28.0%
Applied Research Engineer27.7%
Brand Designer27.4%
ML Engineering Manager27.4%
Research Intern34.9%
CTO24.2%
Applied Research Scientist14.0%
ML Scientist14.0%
Technical Lead Manager13.6%

Roles with the most video generation postings

RolePostings mentioning skillShare of skill postings
Research Scientist1510.5%
Machine Learning Engineer139.1%
Product Designer107.0%
ML Engineer74.9%
Research Engineer74.9%
Software Engineer64.2%
Product Manager42.8%
AI Creative Producer32.1%
Machine Learning Research Scientist32.1%
Research Intern32.1%

Top companies posting jobs requiring video generation

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring video generation
CompanyPostings · 90 days
EverAI9
Wayve8
NVIDIA5
Snap5
Google4
Synthesia4
Applied Intuition4
Applied4
Adobe4
Elevenlabs3

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 video generation

NamePostingsShare
London117.7%
Sunnyvale96.3%
San Francisco85.6%
Mountain View53.5%
Santa Clara53.5%
Paris42.8%
Seattle32.1%
Shanghai32.1%
Toronto32.1%

Skills commonly paired with video generation

Get a daily email digest of new video generation content

Skillenai indexes news articles, blog posts, and research papers that mention video generation. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-07. 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 video generation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s video generation postings by all video generation 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,617 identified employers and covers 70% of earlier and 72% of latest indexed postings. Windows: 2026-06-09 to 2026-09-07 and 2026-07-07 to 2026-10-05 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
dda39a549ff6952c
data_as_of
2026-10-07
window_days
90
Hiring engineers who use video generation?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index