The document summarizes a report on the global state of machine learning talent in 2018. Some key findings include: - There were approximately 720,325 people skilled in machine learning globally, representing 0.009% of the world population. - The United States had the largest share of machine learning talent with 221,592 workers, representing 30.8% of the global talent pool. - When analyzing machine learning talent per capita, Singapore had the highest percentage of people skilled in machine learning out of its population.

1. Diffbot State of
Machine Learning
Report - 2018

2. Using the Diffbot Knowledge Graph*, we
identified 720,325 people skilled in
Machine Learning across the globe.
This makes up 0.009% of the global
population
*The Diffbot Knowledge Graph is a fully autonomous, AI-curated and structured database
of all of the public knowledge on the Web: more than 1 trillion facts and 10 billion entities.
This represents a repository of knowledge that is significantly larger than the Google
Knowledge Graph, and growing every day.

3. Global Distribution of Machine Learning Talent is
heavily centered in the US
Note: China is likely significantly
underrepresented in this count,
potentially due to the closed nature of
their Internet (Diffbot Knowledge
Graph is based on public information)
● 221,592 workers
skilled in ML reside
in the US
● 30.8% of global
talent pool
● More talent than
the rest of the top
10 combined

4. ML Skills by Country by Population
The “leaderboard” changes quite a bit...
Country Population ML Talent Percent of Pop
1. Singapore 5,791,901 4983 0.086%
2. Israel 8,452,841 6591 0.078%
3. Ireland 4,803,748 3713 0.077%
4. United States 326,766,748 221592 0.068%
5. Switzerland 8,544,034 5518 0.065%
6. Canada 36,953,765 19259 0.052%
7. Finland 5,542,517 2850 0.051%
8. Netherlands 17,084,459 7434 0.044%
9. Denmark 5,754,356 2501 0.043%
10. Sweden 9,982,709 4291 0.043%

5. Machine Learning Skills in the United States
Large states, major metropolitan areas win out
California
Dominates the
Machine Learning
workforce, with
74,791 skilled ML
workers
That’s more than
New York, Texas,
and Massachusetts
combined

6. Machine Learning Skills by State, Per Capita
Once again, the “leaderboard” changes quite a bit...
1. Massachusetts
2. Washington
3. California
4. New York
5. Colorado
6. Pennsylvania
7. Maryland
8. Utah
46. Hawaii
47. Alaska
48. Louisiana
49. West Virginia
50. Mississippi
Weighted ML Rank Pop Rank
15
13
1
4
21
6
19
31
40
48
25
38
34
National average

7. Top US Universities:
Over 45,000 people skilled in Machine Learning graduated from
one of these 10 US universities
#1 #2 #3 #4 #5
#6 #7 #8 #9 #10

8. Top Employers:
Microsoft, IBM, Google, Tata, and Amazon snapping up ML Talent
Microsoft
14,965
IBM
11,087
Google
10,247
Tata Consultancy
6,348
Yahoo
3,187
Cognizant
3,274
Oracle
3,408
Stanford University
3,526
CitiGroup
3,636
Amazon
6,217
Carnegie Mellon
3,854
Infosys
4,348
Intel
5,019
Accenture
5,918
Microsoft has 5.88 x and
Google has 4 x the Machine
Learning Talent of Apple (2,545)
Carnegie Mellon is the top
academic ML employer,
with Stanford close behind
Deloitte
3,034

9. Top International Universities
Universities in China, India, Canada, Iran and the UK
Lead the World
Outside the US, China’s
Tsinghua University
and Peking
Universities graduate
the most students with
ML skills
However, China only
represents the current
location of 3.5% of the
global ML workforce
TsinghuaUniversity
PekingUniversity
UniversityofMumbai
SharifUniversityofTech
UniversityofToronto
ShanghaiJiaoTong
ZhejiangUniversity
UniversityofWaterloo
NatUnivofSingapore
UniofSci&TechChina
UniofCambridge
AnnaUniversity
ImperialColLondon
NationalTaiwanUni
UniversityofTehran
TelAvivUniversity
JawaharlalNehru

10. China’s ML Brain Drain
Even though 5 of the top 10 Global ML talent producing
universities are in China, their graduates aren’t staying...
University Graduates % in US % in China
Tsinghua University 4215 61.52% 32.84%
Peking University 3036 63.34% 31.09%
Shanghai Jiao Tong University 2572 58.75% 32.54%
University of Science and Technology of China 1785 66.16% 27.21%
Totals:
12,521 ML skilled Grads
62.39% left for the United States 31.14% Stayed in China

11. Machine Learning Skills by Gender & Age
Men and those under 40 years old make up the dramatic
majority of skilled ML workers
Male
Female

12. ML gender diversity: USA vs. The World
While the margins are small, China, Italy, Iran, and Turkey all outpace the United States in
terms of Machine Learning gender diversity...
Total ML Talent % Female
China 15,525 28.86%
Italy 13,961 27.10%
Iran 10,018 25.47%
Turkey 8,145 25.38%
United States 221,592 24.46%
Canada 20,386 23.35%
Australia 10,540 21.89%
France 28,487 21.01%
Israel 6,432 20.91%
Spain 11,057 20.01%
Worth noting:
The number of women with ML skills
in the US is greater than the entire ML
skilled workforce in the other top 5
countries combined.