Michael (Stu) Stewart

Hiring to build Video Search & VLMs @ Twelve Labs

San Francisco, California, United States

About

Message me (you can send me a free DM as I've enabled open profile) if you're interested in learning more about Twelve Labs! ML/AI @ Twelve Labs (previously: @Cruise, @Opendoor, @Uber, @FRBNY).

Experience

  • Head of ML/Research Engineering at Twelve Labs
    May 2024 - Present · 2 yrs 3 mos

    *I am hiring* for quite a number of roles in SF and Seoul (hybrid; remote options possible)! If you're hyped about SoTA [1,2] Video Language Models and multimodal AI, please drop me a DM (you can send me a free DM as I've enabled open profile) and also check out our open positions [3]! [1] https://www.twelvelabs.io/blog/marengo-3-0 [2] https://www.twelvelabs.io/blog/introducing-pegasus-1-2 [3] https://jobs.ashbyhq.com/twelve-labs

  • Manager, ML/AI Engineering (Autonomy for Cruise Origin) at Cruise
    Feb 2023 - May 2024 · 1 yr 4 mos

    I worked on the now defunct Cruise Origin (R.I.P) at the now defunct Cruise (R.I.P).

  • Opendoor (4 yrs 11 mos)
    • Tech Lead Manager, ML/AI
      2020 - Nov 2022 · 2 yrs 11 mos

      At Opendoor, the Algorithmic Valuations team designs and deploys deep learning algorithms that allow the firm to accurately and efficiently value (and make offers on) hundreds of thousands of homes each year. We built deep learning solutions that power >$10b/year in transaction volume. You can read more about my work adapting novel algorithms to the real estate domain on the Opendoor Engineering blog, below [PDF version also attached].

    • Staff Research Engineer
      Jan 2018 - 2020 · 2 yrs 1 mo

  • Software Engineer - Data at Uber
    May 2016 - Jan 2018 · 1 yr 9 mos

    I wore data science, data engineering, and SWE hats in the service of driver-product and machine learning infra.

  • Researcher at Federal Reserve Bank of New York — Research and Statistics Function
    Aug 2014 - May 2016 · 1 yr 10 mos

    At FRBNY, I focused on microeconomics policy, with research topics including consumer & SMB debt, and econometric designs in the context of education policy.