Machine Learning at Berkeley (ML@B) is a student-run organization dedicated to fostering a vibrant machine learning community on the UC Berkeley campus by providing educational and computational resources to undergraduate and graduate students. We empower passionate students of all backgrounds and skill levels to solve real world data-driven problems in both academic research and industry settings through collaboration with companies and internal research. By growing a strong machine learning community at UC Berkeley, we hope to benefit, educate, and inspire the students at the university as well as aiding the machine learning community at large. To learn more about us, visit our website at http://ml.berkeley.edu
| Website | https://ml.berkeley.edu/ |
| Revenue | $2.4 billion |
| Employees | 43 (5 on RocketReach) |
| Founded | 2015 |
| Industry | Software Development |
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Machine Learning at Berkeley Questions
The Machine Learning at Berkeley annual revenue was $2.4 billion in 2026.
Tejas Prabhune is the President of Machine Learning at Berkeley.
5 people are employed at Machine Learning at Berkeley.
Top Machine Learning at Berkeley Employees
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Tejas Prabhune
President at Machine Learning at Berkeley
San Jose, CA, US31 -
Skyla
Machine Learning Engineer at Machine Learning at Berkeley
Sunnyvale, CA, US2 -
2
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Annika Yun
Internal Officer at Machine Learning at Berkeley
California, United States3
