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    Jordan Luber

    Machine Learning Engineer at ByteDance

    Jordan Luber is currently an Applied Scientist at Microsoft, focusing on revenue optimization, multilingual language encoding, and multi-task deep learning approaches.

    He possesses research experience in social network analysis, natural language processing, and Image Processing for National Laboratories.

    Jordan's expertise includes recommender systems for belief inference and multi-task collaborative filtering.

    His primary languages are Python, SQL, and C#.

    He studied BS in Computer Science at the University of Illinois at Urbana-Champaign and has held various roles such as Machine Learning Engineer at ByteDance and Data & Applied Scientist at Microsoft.

    Jordan has a diverse background, having worked in roles ranging from TA to Software Engineering Intern at Microsoft and even as a Software Developer Intern at Sandia National Laboratories.

    His experience includes contributing as a Grader at University of Illinois and as an Undergraduate Researcher at Cognitive Computation Group.

    Jordan Luber
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    Location

    Seattle, Washington, United States