Uploaded February 2023 | Updated September 2026, 2 weeks ago

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Jeremy Nixon is a machine learning researcher, software engineer, and startup founder. Previously he was a software engineer at Google Brain working on deep learning. Now, he is the co-founder and CEO of Omni, building an immersive information retrieval system for you and your team. He studied applied math at Harvard University. Today we’ll talk about how he got into Google brain, his 3-month self-learning plan to learn machine learning, his startup, and how he executed his goal relentlessly since 2016. If you enjoy the show, subscribe to the channel and leave a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.

Jeremy's Twitter: twitter.com/JvNixon
Jeremy's Blog: jeremynixon.github.io
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Jeremy's LinkedIn: linkedin.com/in/jeremyvnixon

00:00:00 Introduction
00:01:50 Research in Google Brain
00:03:37 How he got into Google Brain
00:07:56 His 3-month plan to learn ML
00:17:55 The 100-hour workweek
00:33:26 What if he is tired
00:39:59 Why he found Omni
00:44:24 Data science problems in Omni
00:54:42 Future of machine learning
00:57:51 Silicon Valley is very accessible
00:59:47 The golden handcuffs
01:06:58 From data scientist to full-stack engineer
01:09:06 Close-minded data scientists
01:24:10 Advice to ML learners
01:29:41 Something he wished that he did when he was younger
01:37:25 The future of his career
01:42:17 Connect with Jeremy