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Elmo Scarleit
Personal blog · managingml.substack.comaicareer
Elmo Scarleit writes Managing Machine Learning, a personal blog at managingml.substack.com about ai and career. Since 2020, 3 different Hacker News readers have linked it 9 times, most often “A Cap Theorem for Career Development”. The last post was in 2022, but the archive is still widely read.
Tools to optimize your ML organization. Launched 6 years ago.
Most-linked posts?
- A Cap Theorem for Career Development3 people · 4 mentions · first linked 2021-02-21
What Hacker News says?
I am curious what your take is on things like this article: https://managingml.substack.com/p/the-myth-that-machine-lear... It has been my experience too. Basically, ML / DS engineers are thrown under the bus for being poor general software engineers, but in practice it’s totally the opposite.
Comment linking /p/the-myth-that-machine-learning-engineers
on “We don't need data scientists, we need data engineers”Submitted A Cap Theorem for Career Development as a story · 4 points
HN discussionI discussed some related soft skill tactics in this post - for the specific problem of managing technical respect for a specialist team (in this case a machine learning team). - https://managingml.substack.com/p/the-myth-that-machine-lear...
Comment linking /p/the-myth-that-machine-learning-engineers
on “Soft Skills in Engineering Leadership”Submitted A Cap Theorem for Career Development as a story · 3 points
HN discussionI actually posted on a somewhat related topic here: - https://managingml.substack.com/p/ml-model-training-is-an-et... As an ML manager one of the things that I dislike about the Databricks model is the reliance on notebooks and bespoke interactive cluster workflows. ML workloads are stuck in the stone age because there’s no common pattern to plug them into existing ETL frameworks, but really that is what they are. M…
Comment linking /p/ml-model-training-is-an-etl
on “Why Databricks Is Winning”Submitted A Cap Theorem for Career Development as a story · 2 points
HN discussionI wrote up a post about some inherent, fundamental contradictions in leveling / salary band approaches to structured career development. I think it’s under-appreciated that these systems are so inherently flawed, especially regarding meritocracy. https://managingml.substack.com/p/a-cap-theorem-for-career-d...
Comment linking /p/a-cap-theorem-for-career-development
on “Career levels, designation, momentum, etc. (2018)”Submitted The Myth That Machine Learning Engineers Are Not Good General Software Engineers as a story · 2 points
HN discussionSubmitted ML Model Training Is an ETL as a story · 1 points
HN discussion