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MLE Path

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

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The Field Isn't Flooding. Here's What's Actually Happening... and How to Stand Out.

Portfolios are cheap now. Production judgment is not.

I Went Into the Trenches for a Year. Here’s What Changed.

For the past few months on this newsletter there has been a mystery: where is Ilya?

AI Slop Is a Gold Mine (If You Know Where to Dig)

Why the rise of mediocre AI output is the best opportunity you’ve had in years—if you know how to use it.

Where does safety come from? (for ML engineers)

From someone who survived Meta and Twitter's bloodbaths: why your tech career might not be as secure as you think – and the three shields to rely on instead.

The Shortcut Is... Using Your Brain

Why the real shortcut to success in ML engineering isn’t what you think.

The Tricky Parts of ML Interviews

Master the five challenging domains of machine learning interviews with tips from industry veteran.

Establishing Trust at Work

Learn the key to earning trust at work—whether you’re new to a team or looking to level up—but be warned, it’s easier to lose than to gain.

Bubble Wrap, Duct Tape, and the Struggle for Deep Work in ML Engineering

How can ML engineers escape the cycle of technical debt? By mastering deep work, strategic time-blocking, and continuous learning to stay ahead in a fast-evolving field.

"AI" Changes Nothing for Devs, Despite what Crappy CEOs Think

AI won’t replace developers soon, but hype lowers salaries, fuels job anxiety, and misleads. Learn why LLMs are tools, not threats, and how to future-proof your software career.

The One Tool That Makes or Breaks ML Projects

Learn how to create an ML Design Document that prevents project failures, aligns stakeholders, and ensures scalable, high-impact machine learning systems.