MLE Path

By: Ilya Reznik
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  • Summary

  • Join MLE Path, the podcast that explores what it truly means to grow and thrive as a machine learning engineer. Hosted by an industry veteran with over 14 years of experience—including leadership roles at Adobe, Twitter, and Meta—this podcast brings you candid conversations with senior ML engineers at the forefront of the field. Together, we uncover the skills, strategies, and insights that define excellence in machine learning engineering at every career stage. From navigating technical challenges to mastering leadership and innovation, MLE Path provides actionable advice and thought-provoking discussions to help you elevate your career, whether you’re a rising ML engineer or a seasoned professional. This is your guide to continuous growth and impact in the ever-evolving world of machine learning.
    © 2025 Instructed Machines, LLC
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Episodes
  • Rebecca Bilbro - Open source, entrepreneurship, and 14 years in ML

    Rebecca Bilbro - Open source, entrepreneurship, and 14 years in ML
    Jan 26 2025

    Dr. Rebecca Bilbro shares her unique journey through data science and machine learning. We explore the value of blending unusual skill sets, fostering collaboration, and maintaining control in her career.

    Rebecca also reflects on her transition from an individual contributor to an entrepreneur, the importance of building strong teams, and the transformative role of open source in the industry.

    She offers insights into what makes a great machine learning engineer, the challenges of entrepreneurship, and the critical role of contributor energy in open source projects. We also discuss optimizing machine learning workflows, effective communication in managing ML projects, navigating the hype around ML technologies, and fostering community engagement and transparency in the field.

    Links:

    • LinkedIN
    • Rotational
    • Applied Text Analysis with Python (affiliate link)
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    1 hr and 1 min

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