In this video, we cover how to build ML teams, how to get hired in ML, and how to design ML products.
0:00:00 Why managing ML products is hard
0:02:52 Roles in ML teams: MLEs, MLRs, DSs
0:10:01 Hiring and getting hired in ML
0:25:56 Organizational archetypes: from ad hoc ML to ML-first
0:33:34 Building ML teams
0:36:31 Managing ML teams and products
0:39:12 How to manage ML projects better
0:42:54 "Managing up" in ML
0:45:12 ML PMs are well-positioned to educate the org
0:47:57 What is the "Agile for ML"?
0:49:34 Best practices for ML product design
1:02:30 Summary
Detailed notes and slides: https://fullstackdeeplearning.com/cou...
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