00:00 - Introduction
01:36 - High-level answers from the panelists
09:20 - How you will be evaluated for roles that tackle PhD-level problems
14:15 - Years in a Ph.D. program
15:03 - Explaining ML in industry
17:52 - Optimal path to graduate school
23:10 - Pitch for industry
27:30 - Academic research vs industrial research
29:34 - Start a startup straight from undergrad
30:58 - Advice for seasoned engineers getting into ML