TJ

Tim Jurka

The Bearer of Good News at LinkedIn

San Francisco Bay Area

Invests in

Stages:

  • Min Investment:

    $0.00
  • Max Investment:

    $0.00
  • Target Investment:

    $0.00

Work Experience

2013

  • VP of Engineering

    2024

    Leading the global engineering teams that build the LinkedIn Feed, Creation, and Video experiences. We are a cross-functional team of apps, infra, AI engineers and data scientists building experiences to tap into the collective professional knowledge of the world.

  • Senior Director of Engineering

    2021 - 2024

    Led the AI and Data Science teams that build LinkedIn’s consumer experiences.

  • Director of Engineering

    2018 - 2021

    Led the global teams of data engineers, scientists, and linguists that build AI algorithms to personalize the LinkedIn Feed, Search, and Content experiences.

  • Senior Engineering Manager

    2017 - 2018

    Led the Feed & Content Relevance teams, which are responsible for personalizing the homepage news feed in addition to other LinkedIn content experiences using machine learning.

  • Engineering Manager

    2015 - 2017

    Led the Content Relevance team at LinkedIn. Scaled relevance infrastructure to power billions of monthly impressions.

  • Staff Software Engineer

    2014 - 2015

    Built the relevance engine powering the LinkedIn Pulse experience in the Pulse app and on the LinkedIn homepage.

  • Senior Software Engineer

    2013 - 2014

    Integrated Pulse's relevance engine and data into LinkedIn's tech stack after the acquisition.

2013 - 2013

  • Software Engineer

    2013 - 2013

    Led news relevance efforts at Pulse, a news-reading application with 30M+ users. Designed the first recommender system, developed core infrastructure for machine learning, and was responsible for the due diligence and integration of the Pulse machine learning stack during LinkedIn's acquisition.

  • Ph.D. Student

    2011 - 2013

    My research intersected political science, machine learning, and population biology. While at UC Davis, I designed software for document classification via supervised learning, developed agent-based models to understand the effects of shocks (e.g. riots, natural disasters) on social and physical (e.g. computer, utility, transportation) networks, and tracked voter reactions to political debates in real-time and explored which debate messages resonate with voters.

  • Research Assistant

    2012 - 2013

2012 - 2012

  • Student Developer

    2012 - 2012

2011 - 2012

  • Research Assistant

    2011 - 2012

  • Research Assistant

    2011 - 2012

  • Research Assistant

    2009 - 2010

2008 - 2009

  • Intern

    2008 - 2009

2007 - 2008

  • Software Engineer

    2007 - 2008