MLEPath
@mlepath.com
Break into ML, ace your interviews, build a rewarding career
📈 Hundreds hired, dozens transitioned to ML, countless promoted.
🚀 Ex-Meta, ex-Twitter, ex-Adobe
https://mlepath.com
📈 Hundreds hired, dozens transitioned to ML, countless promoted.
🚀 Ex-Meta, ex-Twitter, ex-Adobe
https://mlepath.com
DeepSeek:
🔹 Sparse Mixture of Experts
🔹 Multi-head Latent Attention
🔹 Model Distillation
What does it really mean for the future of AI?
I’m joining Rotational this Friday, Feb 7 at 12PM ET to break it all down. Join us live on Zoom!
🔗
🔹 Sparse Mixture of Experts
🔹 Multi-head Latent Attention
🔹 Model Distillation
What does it really mean for the future of AI?
I’m joining Rotational this Friday, Feb 7 at 12PM ET to break it all down. Join us live on Zoom!
🔗
buff.ly
February 6, 2025 at 7:47 PM
DeepSeek:
🔹 Sparse Mixture of Experts
🔹 Multi-head Latent Attention
🔹 Model Distillation
What does it really mean for the future of AI?
I’m joining Rotational this Friday, Feb 7 at 12PM ET to break it all down. Join us live on Zoom!
🔗
🔹 Sparse Mixture of Experts
🔹 Multi-head Latent Attention
🔹 Model Distillation
What does it really mean for the future of AI?
I’m joining Rotational this Friday, Feb 7 at 12PM ET to break it all down. Join us live on Zoom!
🔗
Pushback on my latest video—some claim seniority is all that matters in ML hiring. That’s just wrong.
What actually gets you interviews?
➜ Pedigree
➜ Referrals
➜ What you can do
These are the three biggest hiring signals in industry.
Stop listening to people who have never hired anyone.
What actually gets you interviews?
➜ Pedigree
➜ Referrals
➜ What you can do
These are the three biggest hiring signals in industry.
Stop listening to people who have never hired anyone.
February 5, 2025 at 4:53 PM
Pushback on my latest video—some claim seniority is all that matters in ML hiring. That’s just wrong.
What actually gets you interviews?
➜ Pedigree
➜ Referrals
➜ What you can do
These are the three biggest hiring signals in industry.
Stop listening to people who have never hired anyone.
What actually gets you interviews?
➜ Pedigree
➜ Referrals
➜ What you can do
These are the three biggest hiring signals in industry.
Stop listening to people who have never hired anyone.
Neural networks claim to mimic biological learning, but their training is nothing like how humans learn.
Imagine if, at birth, you were dumped with 80% of all human knowledge—completely out of order—and never allowed to learn again.
That’s AI today. Maybe we need a new approach?
Imagine if, at birth, you were dumped with 80% of all human knowledge—completely out of order—and never allowed to learn again.
That’s AI today. Maybe we need a new approach?
February 4, 2025 at 10:00 PM
Neural networks claim to mimic biological learning, but their training is nothing like how humans learn.
Imagine if, at birth, you were dumped with 80% of all human knowledge—completely out of order—and never allowed to learn again.
That’s AI today. Maybe we need a new approach?
Imagine if, at birth, you were dumped with 80% of all human knowledge—completely out of order—and never allowed to learn again.
That’s AI today. Maybe we need a new approach?
Too many ML teams use demos to impress rather than progress. A strong demo culture reduces uncertainty, builds trust, and moves toward production-ready AI. Here’s how to fix the broken “demo culture” and use it for real progress:
🔗 https://buff.ly/40Z0HPX
🔗 https://buff.ly/40Z0HPX
The Demo Culture is Ruining ML... But It Doesn't Have To
Machine learning demos should drive real AI progress, not just hype—learn how to create iterative, production-ready ML systems that truly work.
buff.ly
February 3, 2025 at 11:05 PM
Too many ML teams use demos to impress rather than progress. A strong demo culture reduces uncertainty, builds trust, and moves toward production-ready AI. Here’s how to fix the broken “demo culture” and use it for real progress:
🔗 https://buff.ly/40Z0HPX
🔗 https://buff.ly/40Z0HPX
An M2 candidate I’ve been coaching just got a FAANG offer… 3 months after their final interview.
Sometimes ghosting isn’t a no—it’s just an extremely slow hiring process.
Sometimes ghosting isn’t a no—it’s just an extremely slow hiring process.
February 3, 2025 at 6:03 PM
An M2 candidate I’ve been coaching just got a FAANG offer… 3 months after their final interview.
Sometimes ghosting isn’t a no—it’s just an extremely slow hiring process.
Sometimes ghosting isn’t a no—it’s just an extremely slow hiring process.
Kevin Van Horn (30+ years in ML, ex-Adobe Sr. Staff) joins the podcast to break down Bayesian probability, optimization, and what most ML engineers get wrong. Insightful, technical, and real—tune in now! 🎧
Kevin Van Horn - Following Jaynes and Why Fundamentals Matter
MLE Path · Episode
buff.ly
February 3, 2025 at 3:00 PM
Kevin Van Horn (30+ years in ML, ex-Adobe Sr. Staff) joins the podcast to break down Bayesian probability, optimization, and what most ML engineers get wrong. Insightful, technical, and real—tune in now! 🎧
Most ML decisions aren’t final—but early in your career, they feel that way.
The best engineers don’t chase perfect solutions; they design systems that are reversible. Learning to distinguish one-way vs. two-way doors is the key to moving fast in ML.
#MachineLearning #TechCareers #AIEngineering
The best engineers don’t chase perfect solutions; they design systems that are reversible. Learning to distinguish one-way vs. two-way doors is the key to moving fast in ML.
#MachineLearning #TechCareers #AIEngineering
January 31, 2025 at 9:00 PM
Most ML decisions aren’t final—but early in your career, they feel that way.
The best engineers don’t chase perfect solutions; they design systems that are reversible. Learning to distinguish one-way vs. two-way doors is the key to moving fast in ML.
#MachineLearning #TechCareers #AIEngineering
The best engineers don’t chase perfect solutions; they design systems that are reversible. Learning to distinguish one-way vs. two-way doors is the key to moving fast in ML.
#MachineLearning #TechCareers #AIEngineering
Meta warns that it will fire leakers in leaked memo
Mark Zuckerberg told employees that leaking “sucks.”
buff.ly
January 31, 2025 at 6:08 PM
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
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
January 31, 2025 at 5:04 PM
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
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
Having assisted numerous candidates in clearing Meta’s ML System Design interviews, I’ve observed that questions typically revolve around:
➜ Recommender Systems
➜ Harmful Content Detection
➜ Topic Modeling (NLP)
To book your personalized mock interview, visit mockdesignround.com #TechInterviews
➜ Recommender Systems
➜ Harmful Content Detection
➜ Topic Modeling (NLP)
To book your personalized mock interview, visit mockdesignround.com #TechInterviews
Mock Interview Scheduling
buff.ly
January 31, 2025 at 4:31 PM
Having assisted numerous candidates in clearing Meta’s ML System Design interviews, I’ve observed that questions typically revolve around:
➜ Recommender Systems
➜ Harmful Content Detection
➜ Topic Modeling (NLP)
To book your personalized mock interview, visit mockdesignround.com #TechInterviews
➜ Recommender Systems
➜ Harmful Content Detection
➜ Topic Modeling (NLP)
To book your personalized mock interview, visit mockdesignround.com #TechInterviews
Dr. Rebecca Bilbro’s open-source advice?
➜ Use OSS libraries
➜ Find issues
➜ Fix them with PRs
That small bit of code you always rewrite? Others do too—contribute it upstream.
More wisdom from Rebecca on this week’s podcast: https://buff.ly/40ulLMw
#OpenSource #MachineLearning
➜ Use OSS libraries
➜ Find issues
➜ Fix them with PRs
That small bit of code you always rewrite? Others do too—contribute it upstream.
More wisdom from Rebecca on this week’s podcast: https://buff.ly/40ulLMw
#OpenSource #MachineLearning
MLE Path
Podcast · Ilya Reznik · 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…
buff.ly
January 30, 2025 at 6:57 PM
Dr. Rebecca Bilbro’s open-source advice?
➜ Use OSS libraries
➜ Find issues
➜ Fix them with PRs
That small bit of code you always rewrite? Others do too—contribute it upstream.
More wisdom from Rebecca on this week’s podcast: https://buff.ly/40ulLMw
#OpenSource #MachineLearning
➜ Use OSS libraries
➜ Find issues
➜ Fix them with PRs
That small bit of code you always rewrite? Others do too—contribute it upstream.
More wisdom from Rebecca on this week’s podcast: https://buff.ly/40ulLMw
#OpenSource #MachineLearning
My first big launch at Adobe? I was ready. Pushed the code, ran tests, went home.
Next morning: production was down. My change broke everything. I was horrified.
But I took responsibility, fixed it, and earned more trust because of it. Failure isn’t the end—it’s part of the job.
#Engineering #Tech
Next morning: production was down. My change broke everything. I was horrified.
But I took responsibility, fixed it, and earned more trust because of it. Failure isn’t the end—it’s part of the job.
#Engineering #Tech
January 30, 2025 at 3:50 PM
My first big launch at Adobe? I was ready. Pushed the code, ran tests, went home.
Next morning: production was down. My change broke everything. I was horrified.
But I took responsibility, fixed it, and earned more trust because of it. Failure isn’t the end—it’s part of the job.
#Engineering #Tech
Next morning: production was down. My change broke everything. I was horrified.
But I took responsibility, fixed it, and earned more trust because of it. Failure isn’t the end—it’s part of the job.
#Engineering #Tech
Big tech hiring is brutal—you need to pass #LeetCode, but spamming 5000 problems won’t get you there.
➜ Learn what companies actually test
➜ Focus on the right prep, not random grinding
➜ Part 1 of 4: Breaking down MLE coding interviews
Read here: https://buff.ly/4jyu7LZ
#DSA #TechCareers
➜ Learn what companies actually test
➜ Focus on the right prep, not random grinding
➜ Part 1 of 4: Breaking down MLE coding interviews
Read here: https://buff.ly/4jyu7LZ
#DSA #TechCareers
January 30, 2025 at 1:44 PM
Big tech hiring is brutal—you need to pass #LeetCode, but spamming 5000 problems won’t get you there.
➜ Learn what companies actually test
➜ Focus on the right prep, not random grinding
➜ Part 1 of 4: Breaking down MLE coding interviews
Read here: https://buff.ly/4jyu7LZ
#DSA #TechCareers
➜ Learn what companies actually test
➜ Focus on the right prep, not random grinding
➜ Part 1 of 4: Breaking down MLE coding interviews
Read here: https://buff.ly/4jyu7LZ
#DSA #TechCareers
LLMs are plateauing. OpenAI is struggling for breakthroughs. The ‘just throw more data at it’ mentality is nearing its end.
This is great news for ML. We need diverse techniques, not just one overhyped approach.
#AI #MachineLearning
This is great news for ML. We need diverse techniques, not just one overhyped approach.
#AI #MachineLearning
January 29, 2025 at 9:07 PM
LLMs are plateauing. OpenAI is struggling for breakthroughs. The ‘just throw more data at it’ mentality is nearing its end.
This is great news for ML. We need diverse techniques, not just one overhyped approach.
#AI #MachineLearning
This is great news for ML. We need diverse techniques, not just one overhyped approach.
#AI #MachineLearning
Using AI for interview prep? Do it right:
➜ Use it to refresh, not to learn from scratch
➜ Ask specific questions with context
➜ Always verify you understand why the answer is correct
AI should enhance, not replace, your learning.
#TechInterviews #MachineLearning
➜ Use it to refresh, not to learn from scratch
➜ Ask specific questions with context
➜ Always verify you understand why the answer is correct
AI should enhance, not replace, your learning.
#TechInterviews #MachineLearning
January 29, 2025 at 5:57 PM
Using AI for interview prep? Do it right:
➜ Use it to refresh, not to learn from scratch
➜ Ask specific questions with context
➜ Always verify you understand why the answer is correct
AI should enhance, not replace, your learning.
#TechInterviews #MachineLearning
➜ Use it to refresh, not to learn from scratch
➜ Ask specific questions with context
➜ Always verify you understand why the answer is correct
AI should enhance, not replace, your learning.
#TechInterviews #MachineLearning
Want to be an ML engineer?
➜ Build an ML project for yourself first—make sure you enjoy it
➜ Learn & fill in gaps with courses (you now know what’s missing)
➜ Build something for others
➜ Apply & prep for interviews
Half of this is actively building. That’s how you get ahead.
#MachineLearning
➜ Build an ML project for yourself first—make sure you enjoy it
➜ Learn & fill in gaps with courses (you now know what’s missing)
➜ Build something for others
➜ Apply & prep for interviews
Half of this is actively building. That’s how you get ahead.
#MachineLearning
January 29, 2025 at 2:01 PM
Want to be an ML engineer?
➜ Build an ML project for yourself first—make sure you enjoy it
➜ Learn & fill in gaps with courses (you now know what’s missing)
➜ Build something for others
➜ Apply & prep for interviews
Half of this is actively building. That’s how you get ahead.
#MachineLearning
➜ Build an ML project for yourself first—make sure you enjoy it
➜ Learn & fill in gaps with courses (you now know what’s missing)
➜ Build something for others
➜ Apply & prep for interviews
Half of this is actively building. That’s how you get ahead.
#MachineLearning
MLE job hunt tip: Batch applications.
➡ Apply to roles with similar requirements at once
➡ Prep for specific interview types
➡ Expand filters only if needed
Avoid burnout and stay focused.
#MLEngineer #JobSearch
➡ Apply to roles with similar requirements at once
➡ Prep for specific interview types
➡ Expand filters only if needed
Avoid burnout and stay focused.
#MLEngineer #JobSearch
January 29, 2025 at 1:55 AM
MLE job hunt tip: Batch applications.
➡ Apply to roles with similar requirements at once
➡ Prep for specific interview types
➡ Expand filters only if needed
Avoid burnout and stay focused.
#MLEngineer #JobSearch
➡ Apply to roles with similar requirements at once
➡ Prep for specific interview types
➡ Expand filters only if needed
Avoid burnout and stay focused.
#MLEngineer #JobSearch
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
➡ 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
January 28, 2025 at 9:52 PM
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
➡ 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...
January 28, 2025 at 8:02 PM
OpenAI "needs" trillions of dollars...
My student just crushed the ML System Design interview and landed a Meta E5 offer:
Base: $230k
Bonus: 15%
Sign-on: $80k
RSUs: $875k over 4 years (vesting quarterly with no cliff)
Proof that hard work and preparation pay off. Huge congrats!
#MachineLearning #TechInterviews
Base: $230k
Bonus: 15%
Sign-on: $80k
RSUs: $875k over 4 years (vesting quarterly with no cliff)
Proof that hard work and preparation pay off. Huge congrats!
#MachineLearning #TechInterviews
January 28, 2025 at 6:00 PM
My student just crushed the ML System Design interview and landed a Meta E5 offer:
Base: $230k
Bonus: 15%
Sign-on: $80k
RSUs: $875k over 4 years (vesting quarterly with no cliff)
Proof that hard work and preparation pay off. Huge congrats!
#MachineLearning #TechInterviews
Base: $230k
Bonus: 15%
Sign-on: $80k
RSUs: $875k over 4 years (vesting quarterly with no cliff)
Proof that hard work and preparation pay off. Huge congrats!
#MachineLearning #TechInterviews
At 19, my first ML project came from wanting to find a picture of my dad. Too many photos, no ML experience—but the project drove my learning.
You don’t need to wait. Start building. Solve a problem that matters to you and let it guide your growth.
#MachineLearning
You don’t need to wait. Start building. Solve a problem that matters to you and let it guide your growth.
#MachineLearning
January 28, 2025 at 1:51 PM
At 19, my first ML project came from wanting to find a picture of my dad. Too many photos, no ML experience—but the project drove my learning.
You don’t need to wait. Start building. Solve a problem that matters to you and let it guide your growth.
#MachineLearning
You don’t need to wait. Start building. Solve a problem that matters to you and let it guide your growth.
#MachineLearning
📊 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
➜ 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
January 28, 2025 at 1:41 AM
📊 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
➜ 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
At Twitter, I shadowed an ML interview. The candidate chose C++—they were strong, but boilerplate cost them time and impact.
ML engineers: use Python. It’s concise, expressive, and the industry standard. Don’t let your language choice hold you back.
#Python #MachineLearning
ML engineers: use Python. It’s concise, expressive, and the industry standard. Don’t let your language choice hold you back.
#Python #MachineLearning
January 27, 2025 at 11:48 PM
At Twitter, I shadowed an ML interview. The candidate chose C++—they were strong, but boilerplate cost them time and impact.
ML engineers: use Python. It’s concise, expressive, and the industry standard. Don’t let your language choice hold you back.
#Python #MachineLearning
ML engineers: use Python. It’s concise, expressive, and the industry standard. Don’t let your language choice hold you back.
#Python #MachineLearning