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Hiring in China is as much a scheduling question as a sourcing one. At UTC+8, that means a short morning or evening overlap with Western Europe and little natural overlap with the US West Coast. That decides whether you are hiring someone who joins your stand-up or someone who hands off to it.
Developers in China cluster in Beijing, Shanghai, Hangzhou and Shenzhen. City counts cover every indexed developer there, not only the ones using Deep Learning, so treat them as where the country's engineering population sits rather than a count for this skill.
Deep Learning developers in China most often pair it with Python (96.6%), Jupyter (55.5%) and HTML (53.8%).
Developer cities in China
All indexed developers per city, across every skill.
- Beijing17,004
- Shanghai12,279
- Hangzhou4,728
- Shenzhen4,589
- Beijing3,225
- Shanghai2,839
- Guangzhou2,589
- Chengdu2,148
- Nanjing2,077
- Wuhan1,637
Counts are developers in the indexed profile set.
Other skills hired in China
Each links to the same country breakdown for that technology.
- Python44,709
- JavaScript41,283
- HTML38,433
- Java31,565
- C++26,550
- C21,094
- TypeScript18,804
- CSS18,759
- Go17,582
- Bash / Shell16,497
- Jupyter12,291
- Vue.js12,005
- PHP8,340
- C#7,747
Counts are developers in the indexed profile set.
What Deep Learning developers in China also use
Share of this group who also work with each technology.
- Python1,140 · 96.6%
- Jupyter655 · 55.5%
- HTML635 · 53.8%
- C++610 · 51.7%
- JavaScript565 · 47.9%
- Java395 · 33.5%
- PyTorch380 · 32.2%
- Machine Learning365 · 30.9%
- C355 · 30.1%
- CSS305 · 25.8%
- Bash / Shell255 · 21.6%
- TensorFlow255 · 21.6%
Counts are developers in the indexed profile set.
What Deep Learning developers in China look like
Measured across the profiles in this group, not self-reported.
- Median public contributions, last 12 months
- 36
- Median public repositories
- 29
- Median followers
- 43
- Have a linked LinkedIn profile
- 4.7%
- Flagged as open to work on GitHub
- 23.7%
Years of experience
- 0–2 years3%
- 3–5 years13%
- 6–9 years47%
- 10+ years37%
Shares of the profiles in this group where experience could be derived.
Sample profiles from China
Real indexed developers, reduced to ranges and derived labels so no individual is identifiable.
- Contributions / year
- 5,000–7,500
- Public repositories
- 150–250
- Followers
- 500–1,000
- Contributions / year
- 500–1,000
- Public repositories
- 35–50
- Followers
- 100–250
- Contributions / year
- 1,000–2,000
- Public repositories
- 50–75
- Followers
- 50–100
- Contributions / year
- 2,000–3,500
- Public repositories
- 10–20
- Followers
- 0–10
- Contributions / year
- 0–50
- Public repositories
- 35–50
- Followers
- 50–100
- Contributions / year
- 10,000+
- Public repositories
- 50–75
- Followers
- 250–500
Figures are shown as ranges and identifying details are removed. Full profiles, including GitHub handles and contact details, are available to signed-in users.
Frequently asked questions
How many Deep Learning developers are there in China?
1,137 developers based in China show Deep Learning in their public GitHub work, which is 4.1% of all 27,888 Deep Learning developers in the index.
Which cities in China have the most developers?
Beijing (17,004), Shanghai (12,279), Hangzhou (4,728), Shenzhen (4,589) and Beijing (3,225). These are counts of all indexed developers in each city.
Do working hours in China overlap with my team?
At UTC+8, that means a short morning or evening overlap with Western Europe and little natural overlap with the US West Coast.
How active are Deep Learning developers in China?
The median developer in this group made 36 public contributions in the last year across 29 public repositories, with a median of 43 followers.
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