MLE Path
MLE Path
Podcast Description
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.
Podcast Insights
Content Themes
The podcast covers diverse themes relevant to machine learning professionals, including career transitions, technical challenges, leadership, and engineering communication. Notable episodes include discussions on ML system design with Valerii Babushkin, exploring infrastructure and user empathy with Ville Tuulos, and insights into Bayesian methods with Dr. Kevin S. Van Horn. Each episode aims to provide listeners with practical advice applicable at various career stages.
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.
In this episode, Valerii Babushkin, Senior Director at BP and former Meta E7, shares insights on career transitions, ML system design, and navigating high-level IC and management roles. He discusses why he moved between IC and leadership positions, the challenges of onboarding at top tech companies, and how to identify what truly matters in a company. Valerii also dives into engineering communication, the importance of documentation, and why a strong writing culture is key for success. We also explore ML system design principles, including how to write an effective design doc, choosing the right loss functions and metrics, and avoiding common pitfalls like data leakage. Valerii shares his thoughts on Kaggle, when it’s useful for career growth, and what differentiates staff, senior staff, and principal engineers. If you’re aiming to level up in ML, this episode is packed with actionable career and technical advice! 🚀 🔗 Resources Mentioned 📖 Valerii’s Book: Machine Learning System Design https://amzn.to/4hGaX5l 🔗 Connect with Valerii on LinkedIn: https://www.linkedin.com/in/venheads 📄 Staff Engineer Book: https://amzn.to/4hCfq9l
Disclaimer
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