If I wanted to learn the fundamentals of ML so that I can better lead a team of ML engineers, what resources, blogs, or books would you recommend I check out ?
PS- I’m already a software engineering manager and I have no ML experience.
PS- I’m already a software engineering manager and I have no ML experience.
February 16, 2025 at 5:12 AM
If I wanted to learn the fundamentals of ML so that I can better lead a team of ML engineers, what resources, blogs, or books would you recommend I check out ?
PS- I’m already a software engineering manager and I have no ML experience.
PS- I’m already a software engineering manager and I have no ML experience.
It’s not strictly necessary that I skill up on this (ps we’re hiring ML engineers) but it is pretty interesting. As far as I can tell ML is like baking a soufflé - it involves eggs somehow
August 5, 2025 at 3:35 AM
It’s not strictly necessary that I skill up on this (ps we’re hiring ML engineers) but it is pretty interesting. As far as I can tell ML is like baking a soufflé - it involves eggs somehow
We're finally out of stealth: percepta.ai
We're a research / engineering team working together in industries like health and logistics to ship ML tools that drastically improve productivity. If you're interested in ML and RL work that matters, come join us 😀
We're a research / engineering team working together in industries like health and logistics to ship ML tools that drastically improve productivity. If you're interested in ML and RL work that matters, come join us 😀
Percepta | A General Catalyst Transformation Company
Transforming critical institutions using applied AI. Let's harness the frontier.
percepta.ai
October 2, 2025 at 3:35 PM
We're finally out of stealth: percepta.ai
We're a research / engineering team working together in industries like health and logistics to ship ML tools that drastically improve productivity. If you're interested in ML and RL work that matters, come join us 😀
We're a research / engineering team working together in industries like health and logistics to ship ML tools that drastically improve productivity. If you're interested in ML and RL work that matters, come join us 😀
When I transitioned from software engineering to ML engineering, I thought, “What have I done? This is somehow both boring and exhausting at the same time.”
Now that I’m doing some software engineering again, but with AI agents, I’ve realized that it, too, has become both boring and exhausting.
Now that I’m doing some software engineering again, but with AI agents, I’ve realized that it, too, has become both boring and exhausting.
July 29, 2026 at 7:02 PM
When I transitioned from software engineering to ML engineering, I thought, “What have I done? This is somehow both boring and exhausting at the same time.”
Now that I’m doing some software engineering again, but with AI agents, I’ve realized that it, too, has become both boring and exhausting.
Now that I’m doing some software engineering again, but with AI agents, I’ve realized that it, too, has become both boring and exhausting.
anyway I have 10 years SWE/EM, data engineering, rust/c#/python, lately self-educating in AI/ML via academic study/local models/homelab inference/harness building/frontier model assisted development. will show CV in exchange for referral to sufficiently-suited job posting 🙏🏻
September 21, 2026 at 5:41 PM
anyway I have 10 years SWE/EM, data engineering, rust/c#/python, lately self-educating in AI/ML via academic study/local models/homelab inference/harness building/frontier model assisted development. will show CV in exchange for referral to sufficiently-suited job posting 🙏🏻
An ML-guided, cell-free enzyme engineering platform for optimizing substrate preference.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
January 21, 2025 at 10:42 PM
An ML-guided, cell-free enzyme engineering platform for optimizing substrate preference.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Fascinating: In 2-hour sprints, AI agents outperform human experts at ML engineering tasks like optimizing GPU kernel. But humans pull ahead over longer periods - scoring 2x better at 32 hours. AI is faster but struggles with creative, long-term problem solving (for now?). metr.org/blog/2024-11...
November 23, 2024 at 8:20 PM
Fascinating: In 2-hour sprints, AI agents outperform human experts at ML engineering tasks like optimizing GPU kernel. But humans pull ahead over longer periods - scoring 2x better at 32 hours. AI is faster but struggles with creative, long-term problem solving (for now?). metr.org/blog/2024-11...
I interviewed for LLM/ML research scientist/engineering positions last Fall. Over 200 applications, 100 interviews, many rejections & some offers later, I decided to write the process down, along with the resources I used.
Links to the process & resources in the following tweets
Links to the process & resources in the following tweets
February 24, 2025 at 5:24 PM
I interviewed for LLM/ML research scientist/engineering positions last Fall. Over 200 applications, 100 interviews, many rejections & some offers later, I decided to write the process down, along with the resources I used.
Links to the process & resources in the following tweets
Links to the process & resources in the following tweets
AI term explained!
#AI #ArtificialIntelligence #ML #DL #NLP #chatbot #LLM #LLMs #technology #TechRevolution #tech #Engineering #AGI #RAG
#AI #ArtificialIntelligence #ML #DL #NLP #chatbot #LLM #LLMs #technology #TechRevolution #tech #Engineering #AGI #RAG
January 11, 2025 at 3:18 PM
AI term explained!
#AI #ArtificialIntelligence #ML #DL #NLP #chatbot #LLM #LLMs #technology #TechRevolution #tech #Engineering #AGI #RAG
#AI #ArtificialIntelligence #ML #DL #NLP #chatbot #LLM #LLMs #technology #TechRevolution #tech #Engineering #AGI #RAG
We’re looking for new members to join our teams in Warsaw!
🎮 UX Director
🎮 ML Technical Lead
🎮 QA Engineering Manager
🎮 Tech QA Lead
🎮 QA Lead
🎮 Senior Gameplay Animator
🎮 Senior Engineer, Core
Check out the jobs and apply here 👉 cdpred.ly/HJO_poland
🎮 UX Director
🎮 ML Technical Lead
🎮 QA Engineering Manager
🎮 Tech QA Lead
🎮 QA Lead
🎮 Senior Gameplay Animator
🎮 Senior Engineer, Core
Check out the jobs and apply here 👉 cdpred.ly/HJO_poland
September 17, 2026 at 2:05 PM
We’re looking for new members to join our teams in Warsaw!
🎮 UX Director
🎮 ML Technical Lead
🎮 QA Engineering Manager
🎮 Tech QA Lead
🎮 QA Lead
🎮 Senior Gameplay Animator
🎮 Senior Engineer, Core
Check out the jobs and apply here 👉 cdpred.ly/HJO_poland
🎮 UX Director
🎮 ML Technical Lead
🎮 QA Engineering Manager
🎮 Tech QA Lead
🎮 QA Lead
🎮 Senior Gameplay Animator
🎮 Senior Engineer, Core
Check out the jobs and apply here 👉 cdpred.ly/HJO_poland
🌀🌀🌀 oooo you want to get me a ML engineering job so bad ooooooo 🌀🌀🌀
Applying for jobs is so funny. "It was nice meeting you at neurips! I'm reaching out to see if you would consider applying for our open technical roles..."
0 interviews later: We have decided to consider other candidates
0 interviews later: We have decided to consider other candidates
February 23, 2025 at 3:51 PM
🌀🌀🌀 oooo you want to get me a ML engineering job so bad ooooooo 🌀🌀🌀
Some keywords for the algorithm:
Threat Hunting
Detection Engineering
DFIR
Data Science
ML
Machine Learning
KQL
Kusto
Microsoft Sentinel
Microsoft Defender
MVP
Threat Hunting
Detection Engineering
DFIR
Data Science
ML
Machine Learning
KQL
Kusto
Microsoft Sentinel
Microsoft Defender
MVP
November 18, 2024 at 6:24 PM
Some keywords for the algorithm:
Threat Hunting
Detection Engineering
DFIR
Data Science
ML
Machine Learning
KQL
Kusto
Microsoft Sentinel
Microsoft Defender
MVP
Threat Hunting
Detection Engineering
DFIR
Data Science
ML
Machine Learning
KQL
Kusto
Microsoft Sentinel
Microsoft Defender
MVP
AI agents have made software engineering just as boring and exhausting as ML engineering.
😭
😭
July 29, 2026 at 7:02 PM
AI agents have made software engineering just as boring and exhausting as ML engineering.
😭
😭
Now that we can assay thousands of plasma proteins in 1-2 ml of blood, there's discovery and validation of many new cancer biomarkers
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Cancer biomarkers discovered using pan-cancer plasma proteomic profiling - Nature Biomedical Engineering
Proteome profiling of plasma samples in human pan-cancer cohorts reveals patterns of biomarkers for diagnosis.
www.nature.com
July 2, 2025 at 4:13 PM
Now that we can assay thousands of plasma proteins in 1-2 ml of blood, there's discovery and validation of many new cancer biomarkers
www.nature.com/articles/s41...
www.nature.com/articles/s41...
ml engineering git commits IRL
August 17, 2025 at 6:42 PM
ml engineering git commits IRL
(in-house engineering ML functions, to be clear, not LLM 'autocomplete on steroids' bullshit)
November 28, 2024 at 1:28 AM
(in-house engineering ML functions, to be clear, not LLM 'autocomplete on steroids' bullshit)
Talking with an early-stage recruiter who work with most large VCs about what engineering hires they make:
50% backend (in popularity: TS, Python, Go, some Rust; but not strong pref)
25% fullstack (usually React+TS+RN)
10-15% AU/ML (backend generalists who know AI)
5% frontend
50% backend (in popularity: TS, Python, Go, some Rust; but not strong pref)
25% fullstack (usually React+TS+RN)
10-15% AU/ML (backend generalists who know AI)
5% frontend
February 14, 2025 at 3:03 PM
Talking with an early-stage recruiter who work with most large VCs about what engineering hires they make:
50% backend (in popularity: TS, Python, Go, some Rust; but not strong pref)
25% fullstack (usually React+TS+RN)
10-15% AU/ML (backend generalists who know AI)
5% frontend
50% backend (in popularity: TS, Python, Go, some Rust; but not strong pref)
25% fullstack (usually React+TS+RN)
10-15% AU/ML (backend generalists who know AI)
5% frontend
#2025ISMPMI 📣 In silico screening of PRR-epitope interactions is now possible!
Here, we developed mamp-ml to predict their immunogenic outcomes without structural context. Let's accelerate engineering plant receptors for robust resistance! 🚀🌱 Small 🧵
www.biorxiv.org/content/10.1...
Here, we developed mamp-ml to predict their immunogenic outcomes without structural context. Let's accelerate engineering plant receptors for robust resistance! 🚀🌱 Small 🧵
www.biorxiv.org/content/10.1...
mamp-ml: A deep learning approach to epitope immunogenicity in plants
Eukaryotes detect biomolecules through surface-localized receptors, key signaling components. A subset of receptors survey for pathogens, induce immunity, and restrict pathogen growth. Comparative gen...
www.biorxiv.org
July 15, 2025 at 11:28 PM
#2025ISMPMI 📣 In silico screening of PRR-epitope interactions is now possible!
Here, we developed mamp-ml to predict their immunogenic outcomes without structural context. Let's accelerate engineering plant receptors for robust resistance! 🚀🌱 Small 🧵
www.biorxiv.org/content/10.1...
Here, we developed mamp-ml to predict their immunogenic outcomes without structural context. Let's accelerate engineering plant receptors for robust resistance! 🚀🌱 Small 🧵
www.biorxiv.org/content/10.1...
I'm teaching Engineering Societal Systems this semester, on ML, market design, optimization in government, education, and other high-stakes contexts. A great reminder that responsible building and critique both require care and hard work.
Paper list: docs.google.com/document/d/1...
Paper list: docs.google.com/document/d/1...
Engineering Societal Systems / Spring 2025 - Cornell Tech
- Engineering Societal Systems / Spring 2025
orie6170.github.io
February 2, 2025 at 5:35 PM
I'm teaching Engineering Societal Systems this semester, on ML, market design, optimization in government, education, and other high-stakes contexts. A great reminder that responsible building and critique both require care and hard work.
Paper list: docs.google.com/document/d/1...
Paper list: docs.google.com/document/d/1...
this is very cool but it's also depressing that we can only find out about this through reverse engineering. the leading researchers in ML make of it a closed-off, secretive matter, placing themselves in an adversarial relation to open science
It suggests Claude’s tokenization scheme is more compact than previously estimated.
Article: www.tokenize.rs/claude
Blog: tokencontributions.substack.com/p/on-the-bio...
Article: www.tokenize.rs/claude
Blog: tokencontributions.substack.com/p/on-the-bio...
Reconstructing Claude's tokenizer
A near-exact reconstruction of Claude's tokenizer, running offline with no API calls.
www.tokenize.rs
August 15, 2026 at 2:52 AM
this is very cool but it's also depressing that we can only find out about this through reverse engineering. the leading researchers in ML make of it a closed-off, secretive matter, placing themselves in an adversarial relation to open science
yes exactly. it's where we got with @chiphuyen.bsky.social at newsletter.pragmaticengineer.com/p/ai-enginee...
That AI engineering is closer to software engineering than ML engineering
In AI eng you start with building a product... work back to LLMs. With ML eng you start building models first
That AI engineering is closer to software engineering than ML engineering
In AI eng you start with building a product... work back to LLMs. With ML eng you start building models first
AI Engineering with Chip Huyen
On today’s episode of The Pragmatic Engineer, I’m joined by Chip Huyen, a computer scientist, author of the freshly published O’Reilly book AI Engineering, and an expert in applied machine learning.
newsletter.pragmaticengineer.com
March 14, 2025 at 12:44 PM
yes exactly. it's where we got with @chiphuyen.bsky.social at newsletter.pragmaticengineer.com/p/ai-enginee...
That AI engineering is closer to software engineering than ML engineering
In AI eng you start with building a product... work back to LLMs. With ML eng you start building models first
That AI engineering is closer to software engineering than ML engineering
In AI eng you start with building a product... work back to LLMs. With ML eng you start building models first
Just to offer a different PoV: this would benefit progress in the same direction, but IMO we need new math for life/natural intelligence to get us out of copying ML into neuroAI, e.g. claiming an engineering tool as THE way the brain works etc. Breakthrough Theoretical advances need broader search.
Paul Middlebrooks asked what we need to prepare the next gen of scientists. @tyrellturing.bsky.social said that we need to first teach students hard skills earlier in their careers: math, physics, engineering, and then have them do biology experiments, instead of the opposite order. I agree 2/
November 17, 2024 at 4:14 PM
Just to offer a different PoV: this would benefit progress in the same direction, but IMO we need new math for life/natural intelligence to get us out of copying ML into neuroAI, e.g. claiming an engineering tool as THE way the brain works etc. Breakthrough Theoretical advances need broader search.
With great pleasure we announce that @alextong.bsky.social joined AITHYRA as Starting PI. He was mentored by Turing Award Laureate @yoshuabengio.bsky.social. Alex develops next-gen ML methods to model and engineer biological systems.
More info: www.oeaw.ac.at/aithyra/rese...
#AITHYRA #StartingPI
More info: www.oeaw.ac.at/aithyra/rese...
#AITHYRA #StartingPI
September 3, 2025 at 1:28 PM
With great pleasure we announce that @alextong.bsky.social joined AITHYRA as Starting PI. He was mentored by Turing Award Laureate @yoshuabengio.bsky.social. Alex develops next-gen ML methods to model and engineer biological systems.
More info: www.oeaw.ac.at/aithyra/rese...
#AITHYRA #StartingPI
More info: www.oeaw.ac.at/aithyra/rese...
#AITHYRA #StartingPI
last time i felt like i understood enough applied ml to do my job well (at the time, engineering for unity's ar/vr labs dept) was 2019-2020 - very cv focused, lots of CNNs
recently i've been having fun updating my understanding for the new era and damn there is a lot to learn
recently i've been having fun updating my understanding for the new era and damn there is a lot to learn
July 23, 2026 at 3:47 PM
last time i felt like i understood enough applied ml to do my job well (at the time, engineering for unity's ar/vr labs dept) was 2019-2020 - very cv focused, lots of CNNs
recently i've been having fun updating my understanding for the new era and damn there is a lot to learn
recently i've been having fun updating my understanding for the new era and damn there is a lot to learn
The lines are very blurry between software engineering, data engineering, data science, data analysis, business intelligence and new things like “MLops”, “AI/ML engineering”, “data governance engineering”.
It makes it hard to coherently communicate about working with data right now.
#dataBS
It makes it hard to coherently communicate about working with data right now.
#dataBS
November 22, 2024 at 2:28 PM
The lines are very blurry between software engineering, data engineering, data science, data analysis, business intelligence and new things like “MLops”, “AI/ML engineering”, “data governance engineering”.
It makes it hard to coherently communicate about working with data right now.
#dataBS
It makes it hard to coherently communicate about working with data right now.
#dataBS