Max Sklar
- Engineering
- Machine Learning
- Data Science Leader
- Bayesian inference
- Causality
- Type theory
Machine Learning Engineer, Data Scientist, Functional Programming
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.
Max has spoken at a var…
- NumPy
- SciPy
- TensorFlow
- luigi
- Apache Thrift
Work
Local Maximum Labs
Here is where I put all of my articles and publications:
https://www.localmaxradio.com/labs
May 2023
Fast MLE Computation for the Dirichlet Multinomial (revised) [PDF]
December 2022: Relative Probability on Finite Outcome Spaces [ PDF ]
March 2022: Sampling Bias Correction for Supervised Machine Learning [ PDF ]
May 2014: Fast MLE Computation for the Dirichlet Multinomial (Original)
Marsbot for Airpods
newmap.ai
https://github.com/maxsklar/newmap.aiNewmap.ai is a new programming language and database combo currently under development meant to rethink from the ground up how engineers and scientists build data stores, algorithms, and artificial intelligence.
Experience
Foursquare
Engineering and Innovation Labs Advisor
Jun 2019 - Oct 2021
In 2019, I joined the Labs team headed by the former CEO to build experimental products based off of Foursquare’s location technology. I built the server stack and provided product leadership for Marsbot for Airpods, which plays sounds at the precise moment users walk by certain locations.
Foursquare
Machine Learning Engineer
May 2011 - Feb 2019
My work at Foursquare included the core recommendation algorithm, internationalization, sentiment analysis, natural language processing, tip ranking, statistical voting algorithms, and ad attribution. I built the first version of venue ratings in 2012, which is based on a machine learning algorithm I wrote and deployed myself. In 2013, I kicked off Foursquare’s NLP pipeline, and contributed to Foursquare’s taste graph. In 2015, I began work as the technical architect of Marsbot, a new place recommendation system with a natural language interface. In addition to the technical design, I worked closely with the product and executive teams to define where Marsbot fits in our app ecosystem and in the marketplace. In 2017 I formulated and developed Foursquare’s proprietary attribution algorithm, which used a causality model to calculate ad effectiveness at getting customers into real world locations. It launched in 2018. In addition to technical leadership, I was also involved in training the sales team. According to leading members of the Foursquare management team, this effort contributed to negotiations in Foursquare’s $150M acquisition of Placed in 2019.
NYU, Stern School of Business
Adjunct Instructor
Sep 2010 - Dec 2012
Official LinkedIn page of New York University
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