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Machine learning at scale: a substack newsletter about machine learning system design for large scale systems :)


I will bite. L4 Google in Zürich, Switzerland. Base: 163k CHF (very low, just promoted), 15% bonus, 50k USD GOOG / year. Not counting stocks, I net 9k a month while maxing retirement account (aka Roth IRA but with less returns) at 2.7k CHF / month. Rent: 2.3k / month in city center, Health insurance: 350 CHF / month. No other significant expenses.

I invest 3.8k CHF / month from base only. All in all, I save ~100k CHF a year counting bonus and stocks.


As a ML engineer / back end type of dev, I really like the idea that I can build everything in Python. Really tempted to buy it but I am a bit scared about support.

Can you share what's the plan? I buy it now, do I get updates? What happens if you stop working on it? How do I make sure the code is of "high-quality" and not glued together?


It looks like you get updates:

> Get unlimited access for unlimited projects with a one-time payment and receive all updates 100% FREE.

If they stop working on it, I imagine that you're SOL.


I also think that paper is super interesting, I talked about it here: https://www.machinelearningatscale.com/how-tiktok-recommenda...


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