
mlepath
@mlepath
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Break into ML, ace your interviews, build a rewarding career 📈 Hundreds hired, dozens transitioned to ML, countless promoted. 🚀 Ex-Meta, ex-Twitter, ex-Adobe
US
Joined August 2024
If you are at #ICML2025 next week, come stop by the Shopify booth, I'd love to chat with you! . If not, take a look at the papers and let me know what's interesting to you! I'll talk about them in upcoming video and will reach out to the authors at the conference if you give me.
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Neural networks are ‘inspired by biology,’ but imagine if as a newborn, you were given 80% of all human knowledge—shuffled, out of order, and never learned anything new again. That’s how we train AI today. Maybe it’s time for a rethink? 🤔. #AI #MachineLearning.
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🚨 ML demos should build better AI, not just hype. Stop faking progress—learn how to use iterative demos to make real ML advancements. 👇.🔗 #MachineLearning #AI.
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Just heard from an M2 candidate I’ve been working with—FAANG company finally got back to them… 3 MONTHS after their interview. Turns out, not all ghosting means no. 👀. #FAANG #InterviewTips.
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🚀 Want to level up your ML knowledge?.Kevin Van Horn (30+ years in ML, ex-Adobe Sr. Staff) dives into Bayesian probability, optimization, & the hard truths of ML. A must-listen for ML engineers & researchers! 🎧👇..#MachineLearning #Podcast.
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Many candidates make the mistake of only reviewing generic ML concepts. Instead, go deep into how these systems scale, their trade-offs, and real-world constraints. #MLEngineering #TechInterviews.
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The most common ML System Design topics at Meta are:.➜ Recommender Systems – Powering content ranking & personalization.➜ Harmful Content Detection – Filtering spam, misinformation & safety risks.➜ Topic Modeling (NLP) – Predicting category of conversation.#AI #DataScience.
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Did you know Meta’s ML System Design interviews often focus on just 3 key areas of ML? Mastering these can be the difference between passing and failing. 🧵👇 #MachineLearning #TechInterviews.
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