Overview

Gender

male

Jake Mannix is the Software Architect, Search Relevance & B2B Data Science at Salesforce.

Before joining Lucidworks, Jake worked on the Semantic Scholar project at the Allen Institute for Artificial Intelligence, and prior to that was tech lead for Twitter’s data science and data engineering teams, building both the products and teams responsible for profile/account search and text classification and interest modeling for personalized content recommendations. At LinkedIn, he worked on Apache Lucene-backed search engine development, then a generic entity-to-entity recommender system framework which ran ads, job recommendations, and profile recommendations. Jake’s also been an Apache Mahout committer since the early days, focused originally on dimensionality reduction and linear algebra primitives as well as latent dirichlet allocation for topic modeling. His original graduate work at Stanford and University of Washington was in theoretical physics and math.