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Managing Data Science Teams and Hiring Machine Learning Engineers with Harikrishna Narayanan (YC Stealth Startup)

Machine Learning Engineered

Episode   ·  10 Plays

Episode  ·  10 Plays  ·  1:15:35  ·  Feb 9, 2021

About

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/newsletterFollow Charlie on Twitter: https://twitter.com/CharlieYouAISubscribe to ML Engineered: https://mlengineered.com/listenComments? Questions? Submit them here: http://bit.ly/mle-surveyTake the Giving What We Can Pledge: https://www.givingwhatwecan.org/Timestamps:02:45 How Hari got started in computer science and machine learning06:00 Making the transition from IC to manager14:35 What it means to be an effective engineering manager19:20 Differences in managing machine learning vs traditional software teams24:30 The importance of explaining complicated topics simply30:15 How he thinks about hiring for data science and machine learning36:50 Mistakes Workday made as it adopted machine learning41:50 Essential skills for machine learning engineers54:05 Why the future of AI is augmentation, not automation58:30 His experience so far with YC01:02:00 Rapid fire questionsLinks:Growth MindsetThe Feynman TechniqueRadical CandorTrillion Dollar CoachMultipliersGood to GreatThe First 90 DaysCrossing the ChasmZero to OneThe Lean StartupThe Hard Thing About Hard ThingsSapiensA Short History of Nearly EverythingOn IntelligencePrediction MachinesAlgorithms to Live By<a...

1h 15m 35s  ·  Feb 9, 2021

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