# ML at Netflix and How to Learn Deeply - ML 120 Page: https://stenobird.com/podcast/adventures-in-machine-learning/ml-at-netflix-and-how-to-learn-deeply-ml-120 Text version: https://stenobird.com/podcast/adventures-in-machine-learning/ml-at-netflix-and-how-to-learn-deeply-ml-120.md Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning) Published: 2023-06-30T11:00:00+00:00 Episode link: https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-at-netflix-and-how-to-learn-deeply-ml-120 Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842136/stream.mp3 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/ml-at-netflix-and-how-to-learn-deeply-ml-120 Duration seconds: 3803 ## Resource In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Amir Ziai Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support . ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/ml-at-netflix-and-how-to-learn-deeply-ml-120/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/adventures-in-machine-learning/ml-at-netflix-and-how-to-learn-deeply-ml-120.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.