1. Pinterest L3 MLE
Base : 165
RSUs : 200 / 4
Annual TC : 215 + 55 sign on
2. Amazon L4 AS
Base : 175
Annual TC : 270 (including RSUs and Y1, Y2 sign ons)
Location : SF Bay Area for both
I'm looking for a role where I get to learn a lot, would prefer if the work is 50-50 split between ML RnD and infra/engineering so I can pick up new skills from both domains.
My main questions are:
1. How is the work distribution of an Amazon AS? My guess is it's mostly RnD and ML modelling, so I won't get a chance to pick up engineering skills. What about Pinterest MLE? My guess is more 50-50.
2. How are stock refreshers/annual compensation reviews at both Pinterest and Amazon?
3. I really like the team and project at Pinterest, but the stock has been falling. Is it worth joining PINS given its current situation?
4. How important is it to prioritize the TC of your first job for career growth? Would the TC/level of my next job depend a lot on my current TC?
Would love to hear any perspectives about these.
TC : 0 (new grad)
YOE : 1
#tech #amazon #pinterest
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comments
I would say pick based on tech stack.
Pinterest is python shop
Amazon is java shop.
Even in ML, amazon uses java!
For me personally I would have picked Pinterest because of Python
Amazon rounds were ML theory questions, deep dive into resume, ML design, one leetcode, one pure LP.
Pinterest rounds were 2 open ended ML design + theory, one leetcode medium, one coding (OOP practices and stuff).
Amazon was more ML theory heavy while Pinterest focused more on thought process about the problem.
Makes sense, I'm just wary that I'll be committing to RnD early on and not get an opportunity to learn infra/engineering skills.