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 www.dalianaliu.com for more on data science.
Jeremy's Twitter: https://twitter.com/JvNixon
Jeremy's Blog: https://jeremynixon.github.io/
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Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu
Jeremy's LinkedIn: https://www.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
