SkillTrendLab
Skill · Machine learning · Foundations and problem-solving

Deep Learning

Machine learning built on multi-layer neural networks.

20.9%
of core AI postings mention it
737
postings
431
companies

History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.

Where it is mentioned most

Each row divides by that role's postings in this edition, highest share first.

Reading this edition

Postings in 10 role families mention Deep Learning in this edition.

In 5 of the 8 role families with a page of their own, at least one posting in five mentions Deep Learning: Computer Vision Engineer 48.7%, Data Scientist 41.1%, Algorithm Engineer 36.1%, LLM / NLP Engineer 30.3%, AI Engineer 20.7%.

Deep Learning is more concentrated in Computer Vision Engineer postings (48.7%) than across all core AI postings (20.9%): at least twice the overall share.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

  1. 55 of 113 postings · at least twice overall
  2. 62 of 151 postings
  3. 116 of 321 postings
  4. 53 of 175 postings
  5. AI Researcher30.0%
    18 of 60 postings · Sample below the page threshold; not read
  6. 361 of 1,741 postings
  7. MLOps / Platform Engineer15.8%
    6 of 38 postings · Sample below the page threshold; not read
  8. 12 of 123 postings
  9. 16 of 225 postings
  10. 8 of 305 postings

Skills that appear with it

Each share divides by the postings that mention Deep Learning: how many of them also mention each skill, grouped into three lenses.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python83.2%
    Languages · 613 postings
  2. Machine learning · 505 postings
  3. C++40.3%
    Languages · 297 postings
  4. Machine learning · 266 postings
  5. Methods and process · 241 postings
  6. Methods and process · 195 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Git28.5%
    Tools · 210 postings
  2. Linux24.4%
    DevOps · 180 postings

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. PyTorch54.7%
    Frameworks · 403 postings
  2. Frameworks · 359 postings
  3. LLM41.3%
    LLM applications · 304 postings
  4. LLM applications · 204 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    216
    29.3%
  2. Electronics & Hardware
    156
    21.2%
  3. Semiconductor
    108
    14.6%
  4. Professional Services
    70
    9.5%
  5. Finance & Insurance
    48
    6.5%
  6. Healthcare & Biotech
    45
    6.1%
  7. Manufacturing
    42
    5.7%
  8. Telecom, Media & Digital Content
    13
    1.8%
  9. Wholesale, Retail & E-commerce
    13
    1.8%
  10. Consulting & Marketing Services
    12
    1.6%
  11. Construction & Real Estate
    7
    0.9%
  12. Energy, Utilities & Natural Resources
    2
    0.3%
Place
  1. Taipei
    310
    42.1%
  2. New Taipei
    84
    11.4%
  3. Hsinchu County
    84
    11.4%
  4. Hsinchu City
    77
    10.4%
  5. Taichung
    62
    8.4%
  6. Taoyuan
    41
    5.6%
  7. Kaohsiung
    28
    3.8%
  8. Tainan
    20
    2.7%
  9. Miaoli
    10
    1.4%
  10. Changhua
    4
    0.5%
  11. Nantou
    3
    0.4%
  12. Yunlin
    3
    0.4%

Where this number is read from

Of the 737 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    190
  2. Job title
    30
  3. Job description
    629
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.