Had a great chat with a Senior Staff ML candidate in office hours yesterday—it reinforced something important about ML System Design interviews at higher levels.

You need to save time for a deep dive, not just cover all stages.

Here’s how I structure my time to maximize impact.

#TechInterviews

Once you hit Senior MLE, what’s next?

➡ Architect: Big-picture systems
➡ Tech Lead: People leadership
➡ Problem Solver: Deep technical challenges
➡ Right Hand: Flexible across roles
➡ Manager: Strategy & teams

The real question isn’t promotion—it’s leadership.

#MachineLearning

OpenAI "needs" trillions of dollars...

📊 Conducted 100+ ML System Design interviews at big tech—here’s what I’ve learned:

➜ Mismanaging time = running out
➜ Skipping stages = missing the big picture

Stay clear, follow these stages, and nail your interview. Timing is everything ⏳

#MLSystemDesign #AI #TechInterviews #BigTech

AGI hype scares me—not because it’s imminent, but because we may have "Boy who cried wolf" problem. My take: https://buff.ly/4ha9Yu9
#AI

Deepseek R1 is proof that censoring LLMs is harder than anyone expected. The secrets it reveals? You don’t want to miss this. Watch the video: [link]

#AI #LLMs #TechInsights

🚀 Announcing MLE Path Podcast!

🎙️ Candid conversations with senior ML engineers and hosted by an industry veteran (Adobe, Twitter, Meta).

🎧 Available now on Spotify, Apple Podcasts, and wherever you listen to podcasts!
#MLEPath #MachineLearning #AI #TechPodcast

Here is a fun video of Deepseek answering a question about Tiananmen Square. #DeepSeekR1

AI that costs 1,000x more than human labor, performs worse, and only works on data it’s seen. Bravo, OpenAI.
The o3 model on the ARC dataset is wildly inefficient. Less than 20% gain for 100,000x(!) the cost over Kaggle SOTA. And it’s still worse than a STEM grad.

#AI #o3 #OpenAI #machinelearning