Had a great conversation with a Senior Staff ML candidate in my office hours yesterday—it reinforced something important:

At higher levels, ML System Design interviews require a deep dive. If you don’t structure your time right, you’ll run out before getting to the details that matter.

Here’s how I recommend structuring your time.

By the way, I host office hours every week, sign up link in Substack email each Monday at 3PM Pacific. First come, first served.
📍 Sign up: https://mlepath.substack.com

After Senior MLE, your career can branch into 5 paths:

➡ Architect: Designing big systems
➡ Tech Lead: People-focused leadership
➡ Problem Solver: Tackling deep challenges
➡ Right Hand: Flexible leadership across roles
➡ Manager: Strategic leadership

What kind of ML leader do you want to be?

#MLEngineer

In my experience conducting 100+ ML System Design interviews at big tech, pitfalls happen when:
➜ Candidates mismanage their time
➜ They don’t clarify each stage

Use this diagram to stay on track and crush your interview. Follow the timing—it matters! ⏳

AGI is everywhere in the conversation, but here’s what worries me most: we may have a "Boy who cried wolf problem"

Read my take: https://buff.ly/4ha9Yu9

Deepseek R1: The LLM that uncovers secrets its creators tried to hide. This demonstrates just how challenging it is to censor LLMs.

Watch the video to learn more:

#AI #LLM #TechEthics

🚀 Excited to announce the launch of MLE Path, a podcast dedicated to helping machine learning engineers grow and thrive in their careers.

🎙️ Hosted by an industry veteran with 14+ years of experience at Adobe, Twitter, and Meta, this podcast features candid conversations with senior ML engineers at the cutting edge of the field.

🎧 Available on Spotify, Apple Podcasts, and wherever you listen to podcasts!

#MLEPath #MachineLearning #AI #TechPodcast