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Diffbot State of Machine Learning Report

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Using the Diffbot Knowledge Graph, and in only a matter of hours, we conducted the single largest survey of machine learning skills ever compiled in order to generate a clear, global picture of the machine learning workforce. All of the data contained here was pulled from our structured database of more than 1 trillion facts about 10 trillion entities (and growing autonomously every day).

Published in: Technology

Diffbot State of Machine Learning Report

  1. 1. Diffbot State of Machine Learning Report - 2018
  2. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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.

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