Machine learning systems in the real world.
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 199 | Founded | 3 years ago | Last Issue | 7 days ago |
| Active | |||||
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machinelearningatscale.substack.comLatest Issues
THE ZÜRICH FEED [Edition #4]
Curated ML roles in Zürich. With context no job board gives you.
Hey! Welcome to the fourth edition of The Zürich Feed. 🥂
ByteDance’s TokenMixer-Large: Scaling Ranking Models
TL;DR
ByteDance has released a successor to RankMixer that solves the gradient vanishing issues found in deep ranking models.
The core innovation is a “Mixing & Reverting” block structure that aligns token dimensions to allow proper res...
Why Your $130K ML Pipeline Is Starving 65 Percent of New Merchants [Edition #11]
A blind spot in the ranking logic caused a feedback loop that destroyed supply-side stability in three expansion markets with only 14% retention. Discover how to implement regional multi-armed bandits
QuickBite is a Series D food delivery...
Inside ML@Scale #2
all the numbers behind ML@Scale (yeah, all!)
Every 25th of the month, I publish Inside ML@Scale — a full, honest look at the business behind this newsletter.
Embedding Features in Weights to Kill Retrieval Latency
TL;DR
- The Industry Standard: Two-Tower models are efficient for retrieval but limit expressiveness because they prevent early feature crossing (user/item interactions).
- The Shift: Pinterest moved to a general-purpose, GPU-based ne...
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Authors
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ML engineer @Google
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