
 Daliana's Game
 Daliana's Game  Why he quit a $500k+ machine learning job at Meta (Facebook): a candid review of his experience, mistakes, and ML best practices - Damien Benveniste - the data scientist show049
 Sep 6, 2022 
 Chapters 
 Transcript 
 Episode notes 
 1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36  37  38  39  40  41  42  43  44  45  46  47  48 
 Introduction 
 00:00 • 2min 
 The Beginning of Machine Learning 
 02:22 • 5min 
 How Did You Get Into Meta? 
 07:13 • 4min 
 Is That the Right Job for Me? 
 11:38 • 4min 
 Using Machine Learning in Ads 
 15:30 • 5min 
 Is There an Alto M L Solution? 
 21:00 • 3min 
 Automating Machine Learning Training 
 24:22 • 3min 
 A Modo Paradime, a Reck Engine 
 27:40 • 5min 
 Meta - What Was It Like to Work at Meta? 
 32:40 • 6min 
 The Impact of Machine Learning in Ads 
 38:10 • 3min 
 Is There a Balance Between Short and Long Term Projects? 
 41:15 • 3min 
 What You Learned From Meta? 
 44:04 • 5min 
 I'm Not Happy in My Company 
 49:30 • 2min 
 Ameta - What Projects Have Shaped Your Career? 
 51:28 • 4min 
 The Concept of Competition 
 55:16 • 2min 
 Using Time Boxes to Produce Value Quickly 
 57:16 • 3min 
 How to Get a Job as a Junior Deda Scientist 
 01:00:07 • 3min 
 Do You Have a Base Line for Machine Learning? 
 01:03:34 • 3min 
 Measuring Your Impact 
 01:06:17 • 3min 
 You Need to Deliver Value Quickly 
 01:09:11 • 3min 
 Time Boxing in Machine Learning 
 01:11:51 • 5min 
 The Importance of Adapting to Data Changes 
 01:16:23 • 4min 
 Learning Is Teamwork, You Know? 
 01:20:06 • 3min 
 The Most Challengesome Project You Have Worked On? 
 01:23:19 • 5min 
 Machine Learning Is Good at Doing 
 01:28:29 • 6min 
 The Unexpected Things You Learned From This Project 
 01:34:15 • 3min 
 Machinening Projects Are Iterative 
 01:37:05 • 2min 
 Developing a Model Into a Note Book 
 01:39:32 • 4min 
 Development Coding 
 01:43:03 • 3min 
 I'm a Data Scientist, I've Moved to a Jupiter Note Book 
 01:45:44 • 3min 
 Do You See Yourself as a Machine Learning Engineer? 
 01:48:47 • 2min 
 I Was Never a Sufte Engineer. 
 01:50:22 • 5min 
 Is There Something in the Masen Learning Community That Most People Contrast With? 
 01:54:57 • 3min 
 Is There a Bias in Lineal Regression? 
 01:58:24 • 2min 
 Machine Learning 
 02:00:50 • 5min 
 Are You a Data Scientist? 
 02:05:52 • 5min 
 I Was the Victim of the Job Title of Dela Science Shifting 
 02:10:28 • 1min 
 Machine Learning 
 02:11:52 • 2min 
 Machine Learning Is a Great Place for You to Be 
 02:13:59 • 2min 
 How to Build a Business Around Machine Learning? 
 02:15:29 • 5min 
 Do People Want It? 
 02:20:02 • 3min 
 How Do You Lean on on a Controversial Topic? 
 02:22:35 • 3min 
 I Felt That I Was Not Heard in a Company That Cares a Lot About Their Employes 
 02:25:33 • 4min 
 The Future of Deep Learning 
 02:29:11 • 3min 
 Machine Learning Is Getting More and More Useful 
 02:31:57 • 3min 
 Machine Learning - More Specializations 
 02:35:20 • 4min 
 Are You Excited About Retiring? 
 02:39:30 • 2min 
 You Found Me. I Linked In 
 02:41:46 • 3min 
