TJ

Tim Jurka

VP of Engineering at LinkedIn

San Francisco Bay Area

Overview 

Tim Jurka is currently the VP of Engineering at LinkedIn, where he has held various leadership positions over the years. With a background in machine learning and data analysis, he has successfully led technical teams and contributed to the development of generative AI and natural language processing technologies. Notably, Tim has progressed through different engineering roles at LinkedIn, showcasing his technical leadership skills and expertise in artificial intelligence. Additionally, he has invested in startups in the San Francisco Bay Area, demonstrating his commitment to supporting early-stage companies in the tech industry.

Work Experience 

  • VP of Engineering

    2013 - Current

    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.

Find Jobs, Internships, and volunteer openings for teen students!

  • Chief Executive Officer

    2024

    The Genetic Information Research Institute builds Repbase, the most commonly used database of repetitive DNA elements.

  • Head of Machine Learning

    2013 - 2014

    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.

Pulse is a news reading app that provides users with news from multiple RSS feeds on a single interface.

Raised $10,000,000.00 from Lerer Hippeau, New Enterprise Associates, Greycroft and SV Angel.

  • Ph.D. Student

    2010 - 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.

Articles About Tim

Relevant Websites