#107 Developing New Products Using Machine Learning with Max Sklar - Engineering and Innovation Labs Advisor and Podcast Host
The Local Maximum is hosted and produced by Max Sklar. Max is a software engineer and new product developer by trade, with a focus on machine learning, Bayesian inference, content discovery, and prototyping. The bulk of his work as a machine learning engineer was at Foursquare, where he built Foursquare City Guide’s critically acclaimed 10-point venue rating system and the Marsbot app. More recently, he led the development of a causality model for Foursquare’s Ad Attribution product and now works at Foursquare’s innovation lab.
Enjoy the show!
We speak about:
[00:30] About Max Sklar
[02:00] How did you get into the world of data?
[06:05] About the recommender system at Foursquare
[10:15] Why do you like solving open-ended problems?
[12:20] How has your new role been?
[14:20] What are the benefits of staying at a company for a long period of time?
[16:30] About Marsbot
[20:00] About the attribution side of Foursquare
[26:40] How do you pick the innovations you are going to try?
[28:50] How does the monthly pitch day work?
[31:20] About Local Max Radio
“Try a few ways and see what works.”
“I am looking forward to seeing what kind of trouble people cause.”
“I focus on making a splash on pushing forward technology.”
“Getting things to work that no one has necessarily tried before - that no one in our company has tried before.”
“It's tough to describe probability functions to end clients, it's always good to have that on your side”.
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