Choosing between following offers

New / Eng
LeoMessy

New Eng

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LeoMessymore
Nov 18, 2018 13 Comments

Posting my current New Grad offers to seek opinion

1. Amazon (SDE1)
108+ 24(first year )+20(second year) + 70k/4 (5/15/40/40)
No team and location guarantees before accepting the offer :(

2. Walmart Labs (Data Scientist)
Comp :- 145k + 23k (bonus) + 80k/4 (25% vesting each year) (5K first year / 10k(second year and so on) + 50k signon
Team :- Team seems to compromiseof PhDs and IITians. So definitely I hope there will be a something to learn. Also team builds actual models and are doing some interesting stuff. A bit unsure about the general perception of Labs and if the hiring bar is different for SDE vs Data Science

3. Offer from a startup (Seattle)
Comp :- 110k + 18k RSUs + 16k bonus + 15k (signon)
A unicorn startup, but did not have any leverage while negotiating. Work is really cool backend stuff. Cannot reveal the name. I would only be the first few new grads to be offered a role. So not risking anonymity.

I am personally okay with a nice backend engineering role as well as a machine learning one.

If you could also highlight your reasons, that would be super helpful. Thanks !

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TOP 13 Comments
  • Proofpoint / Eng foodtruckj
    Amazon doesn't have any better reputation than Walmart Labs and in your position I would focus on learning.

    You will learn a lot more at Walmart Labs than fear of being put on pip due to internal politics at Amazon (since you don't know what team you will be working with).

    Your TC at Walmart Labs is pretty high and Amazon stock isn't going to be significant for you compared to what people who joined 3 years ago had to boost their TC.
    Nov 18, 2018 0
  • New / Eng uhYr23
    I'd go for walmart labs and after 1-2 years try to get into top ML jobs.
    Nov 18, 2018 0
  • New H1B.
    How was the interview experience for Walmart ds?
    Nov 18, 2018 3
    • New / Eng LeoMessy
      OP
      A mix of coding + ML interviews. Coding questions were Leetcode mediums. On the ML side, 2 interviewers were really good. They were with PHDs from good schools. We ended up discussing mathematical intuitions for some common ML algorithms and then went to discuss about a few popular recent reasearch papers and discussed them in detail.
      Nov 18, 2018
    • New H1B.
      Awesome. Do you have suggestions around resources to prep up?
      Nov 18, 2018
    • New / Eng LeoMessy
      OP
      Practice some Leetcode. For ML, I went revised my ML grad course notes. That's it.
      Nov 18, 2018
  • New / Eng LeoMessy
    OP
    Guess it's Walmart Labs then. Thank you all!
    Nov 20, 2018 1
    • New / Eng cato
      Congrats 🍾

      Update us in 6 months or a year!
      Nov 20, 2018
  • Intel groove3
    Do you mean 18K options for startup?
    Nov 18, 2018 1
    • New / Eng LeoMessy
      OP
      Nope. They are RSUs, to be specific $18k worth of RSUs/ year.
      Nov 18, 2018
  • Oath FaFr18
    Hey.... I have some questions. I messaged you. can you please reply there ?
    Nov 27, 2018 0
  • New / Eng cato
    Seems like a niche in ML would be more lucrative in the long run
    Nov 18, 2018 0
  • Comcast sKML28
    What is your ms degree in ? I am curious as to the reason for discussing academic papers
    Nov 18, 2018 0

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