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- Machine Learning Engineered
- Publisher |
- Charlie You
- Media Type |
- audio
- Podknife tags |
- Artificial Intelligence,
- Business,
- Careers,
- Data Science,
- Interview,
- Machine Learning,
- Technology
- Publication Date |
- Feb 09, 2021
- Episode Duration |
- 01:15:35
Harikrishna Narayanan is the co-founder of a YC-backed stealth startup. He was previously a Principal Engineer at Yahoo, a Director in Workday's Machine Learning organization, and holds an M.S. from Georgia Tech.
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:45 How Hari got started in computer science and machine learning
06:00 Making the transition from IC to manager
14:35 What it means to be an effective engineering manager
19:20 Differences in managing machine learning vs traditional software teams
24:30 The importance of explaining complicated topics simply
30:15 How he thinks about hiring for data science and machine learning
36:50 Mistakes Workday made as it adopted machine learning
41:50 Essential skills for machine learning engineers
54:05 Why the future of AI is augmentation, not automation
58:30 His experience so far with YC
01:02:00 Rapid fire questions
Links:
to-great.html#articletop">Good to Great
The Hard Thing About Hard Things
Harikrishna Narayanan is the co-founder of a YC-backed stealth startup. He was previously a Principal Engineer at Yahoo, a Director in Workday's Machine Learning organization, and holds an M.S. from Georgia Tech.
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:45 How Hari got started in computer science and machine learning
06:00 Making the transition from IC to manager
14:35 What it means to be an effective engineering manager
19:20 Differences in managing machine learning vs traditional software teams
24:30 The importance of explaining complicated topics simply
30:15 How he thinks about hiring for data science and machine learning
36:50 Mistakes Workday made as it adopted machine learning
41:50 Essential skills for machine learning engineers
54:05 Why the future of AI is augmentation, not automation
58:30 His experience so far with YC
01:02:00 Rapid fire questions
Links:
to-great.html#articletop">Good to Great
The Hard Thing About Hard Things
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