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Contenido proporcionado por Louis-François Bouchard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Louis-François Bouchard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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How to get and ace an ML Engineer job Inteview! With RJ He (Director of Perception at Zoox) - What's AI Podcast Episode 5

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Contenido proporcionado por Louis-François Bouchard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Louis-François Bouchard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Here's an interview with the Director of Perception at Zoox, Ruijie (RJ) He, with the goal of demystifying what is a good profile to get an ML engineer job and perform at the interviews.

We go over many points from the current job market, the screening process, how to prepare for an interview, the interview process and the role of an ML engineer at Zoox.

For a quick introduction to this great company: Zoox is an artificial intelligence company focused on a single product: autonomous vehicles. They are building intelligent taxis for the future hiring a lot of people in the whole machine learning / data science space.

►Learn more about Zoox: https://zoox.com/ ►Support me on Patreon: https://www.patreon.com/whatsai Chapters: 0:34 Who is RJ He and what is Zoox 1:14 What role is Zoox looking for? 2:10 What is an ML Engineer? 4:48 From research to a product, what is the process at Zoox? 7:01 What are you looking for in ML Engineers? 9:50 The screening process at Zoox 12:52 The interviews at Zoox 14:08 How to get a job without work experience? 16:18 What kind of projects are you looking for? 18:42 Are research publications important/necessary? 19:58 Online certifications vs. university 21:32 The interview process (then vs. now) 22:55 The AI field and the job market (then vs. now) 24:42 Hiring at Zoox, future interviews and conclusion

  continue reading

36 episodios

Artwork
iconCompartir
 
Manage episode 372142554 series 3496315
Contenido proporcionado por Louis-François Bouchard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Louis-François Bouchard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Here's an interview with the Director of Perception at Zoox, Ruijie (RJ) He, with the goal of demystifying what is a good profile to get an ML engineer job and perform at the interviews.

We go over many points from the current job market, the screening process, how to prepare for an interview, the interview process and the role of an ML engineer at Zoox.

For a quick introduction to this great company: Zoox is an artificial intelligence company focused on a single product: autonomous vehicles. They are building intelligent taxis for the future hiring a lot of people in the whole machine learning / data science space.

►Learn more about Zoox: https://zoox.com/ ►Support me on Patreon: https://www.patreon.com/whatsai Chapters: 0:34 Who is RJ He and what is Zoox 1:14 What role is Zoox looking for? 2:10 What is an ML Engineer? 4:48 From research to a product, what is the process at Zoox? 7:01 What are you looking for in ML Engineers? 9:50 The screening process at Zoox 12:52 The interviews at Zoox 14:08 How to get a job without work experience? 16:18 What kind of projects are you looking for? 18:42 Are research publications important/necessary? 19:58 Online certifications vs. university 21:32 The interview process (then vs. now) 22:55 The AI field and the job market (then vs. now) 24:42 Hiring at Zoox, future interviews and conclusion

  continue reading

36 episodios

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