I Got Into FAANG, Now What?

Undisclosed ZnYsb61
Nov 28, 2018 80 Comments

I’ll be starting at Apple in July once I graduate, working as a data scientist in the Services group in Cupertino.

This is my first job so I wanted to know from current FAANGers - what’s it like? What should I expect?

Also what should I do these next 6 months to best prepare for the start of my career?

Any tips or advice would be greatly appreciated!

TC: 140k base /110k RSU / 15k signing

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TOP 80 Comments
  • Microsoft SwitchJobs
    Get into FNG now.
    Nov 28, 2018 21
    • Facebook URSoShady
      You can't just say I can assure you and not make any argument. That's not how you win a debate
      Dec 13, 2018
    • Apple G.R.T.A
      You got into FB do some research into social network analysis for god sake! The argument is in the above statement but it looks like that went way over your head. What do you do at FB?
      Dec 13, 2018
    • Facebook URSoShady
      Like I said you don't have an argument. You are the one making a controversial statement, so the onus is on you to provide an argument not for me to provide an argument for your own statement dummy. You seem bitter that you can't get into FB. Maybe if you spend more time doing Leetcode and less time making baseless arguments on Blind, you may actually have a shot.
      Dec 13, 2018
    • Apple G.R.T.A
      Disinformation spreading in friendship networks like FB is not a novel idea I created, it is a well known phenomenon in social network analysis. I am surprised so many people at FB are unaware of the dangers of the platform they are working on.
      Dec 13, 2018
    • Bloomberg WPslayer
      FMNG
      Dec 13, 2018
  • Microsoft do_needful
    It sucks being a data scientist a.k.a. a data monkey. You should grow up to be an SDE.
    Nov 28, 2018 19
    • Verizon ⛺️pitcher
      Oh my sweet summer child. Not only naive, but also and overly inflated ego.
      Nov 28, 2018
    • Spotify Nm3z2f
      It sucks being a data scientist? You’ve been one?
      If you were any good at it, you would have been paid quite well and done both coding and product planning. Telling someone their career/passion sucks is not very helpful.
      Nov 30, 2018
    • Facebook GE+DaSJW
      No one is saying being a Data Scientist sucks. They are very useful at FB. All we are saying is don't act like it's better than SWE because it sounds fancy.
      Nov 30, 2018
    • Spotify Nm3z2f
      I was just replying to the original comment that said exactly that. I don’t view any job on a product team as “better” since it’s a team for a reason.
      Nov 30, 2018
    • Undisclosed KnqJ7ah
      @GE not sure if you have any reading comprehension skills but I would reread the parent comment
      Dec 1, 2018
  • Microsoft 🐙M🐙
    Enjoy your time instead of focusing on preparing too much. A few lessons learned quickly after joining a company:
    - School work was much harder than real work but 40+ hrs a week eats up free time in a way that school never did
    - Most things you learn in school are pretty irrelevant once you start work, as are things like your GPA and test scores
    - You’ll never have summer break again so enjoy it
    Nov 28, 2018 3
    • Undisclosed ZnYsb61
      OP
      How do you suggest I enjoy my time?
      Nov 28, 2018
    • Amazon smsn sns
      Pot?
      Nov 28, 2018
    • Apple Spraynard
      Hookers and blow
      Dec 1, 2018
  • Airbnb jim.hodlen
    work hard, make history. oh wait you don’t work for amzn
    Nov 28, 2018 3
    • Amazon benzosJaJa
      LOL, work hard, no free food
      Nov 28, 2018
    • Amazon PAxv45
      work hard, make history, eat bananas.
      Nov 28, 2018
    • Airbnb jim.hodlen
      who needs sex when you can eat bananas
      Nov 28, 2018
  • Microsoft Lowly IC
    Lol, after all that you want to spend your last 6 months preparing?

    How about have some fun or travel?
    Nov 28, 2018 7
    • Airbnb jim.hodlen
      everyone is different. I’m like the OP in that I feel travel gets old fast (why am I still working for a travel company LOL)
      Nov 28, 2018
    • Undisclosed ZnYsb61
      OP
      I like my current bubble, I think I might just buy a bunch of books and read those instead. I’ve been meaning to read Dostoyevsky, Nietzsche and Jung so this may be a good opportunity to do so
      Nov 28, 2018
    • Verizon SnoopDoge
      OP a Jordan Peterson listener by any chance?
      Nov 28, 2018
    • Undisclosed ZnYsb61
      OP
      No I’ve seen some clips of his (I.e. “so what you’re saying is...”) but couldn’t really get into him.

      I had my self development phase in high school via tony robbins, napoleon hill, eckhart tolle, etc. So his stuff doesn’t resonate too much
      Nov 28, 2018
    • Microsoft Lowly IC
      Ok, well you and I are definitely very different people. Ill just exit thread.
      Nov 28, 2018
  • Undisclosed public2
    Apple isnt the a in fang.
    Nov 28, 2018 3
    • Undisclosed $randomGuy
      But he said FAANG
      Nov 28, 2018
    • New RzFr15
      Stop saying FAANG. It’s not going to happen.
      Nov 28, 2018
    • Undisclosed ZnYsb61
      OP
      My salary is what my friends at G and FB are getting
      Nov 28, 2018
  • Amazon smsn sns
    Come to Amazon. We won't give time to think what next. Problem solved.
    Nov 28, 2018 0
  • New RzFr15
    Cry at your desk
    Nov 28, 2018 0
  • Undisclosed $randomGuy
    Ok. Let me throw in my opinion to some comments above regarding data scientist vs SWE. I am an ML PhD and working as a data scientist in non-FAANG.

    Advantages:

    1. DS pays pretty well. I think only FANG + unicorns can exceed my base pay and that too not more than by $10K

    2. Working on your own to find patterns in data to show them to your supervisor. So in a way, you get to make your own decisions. I don’t like this because sometimes I have no direction. This will happen if you don’t understand the business model.

    3. That’s it. Sorry 😄

    Disadvantages:

    1. I have not implemented anything production level. In my PhD too, I liked implementing things. I like the software side but I am not good at it (i.e. I am not yet good at leetcoding, that’s another post anyway 😄)

    2. As people say, DS pretty much spend their time to find patterns in big data using HIVE, Spark and SQL. In simple words, find out how to increase revenue and tell that to managers. Then they tell it to the engineers where they build the necessary frontend/backend. Yeah, not interested.

    3. Attractive title. Tons of post online on how to become a DS. I don’t know why though. ML engineer is definitely better in my mind.

    4. Relaxed job if your team is not generating enough revenue to be relevant. Because, your analysis anyway won’t impact on revenue. However, DS in Google ads team will be good. This is a disadvantage because I am not learning much.

    My recommendation: keep trying for ML engineer.
    Nov 28, 2018 2
    • Undisclosed ZnYsb61
      OP
      Interesting perspective, I like data science because it allows me to interact with business stakeholders as well. My ideal role is 70% coding/30% meetings & presentations which data science seems to fill.

      Also MLE roles are super competitive and most companies won’t call you back unless you have a PhD (which I don’t). That’s why i went for data science but eventually I’d like to try my hand at MLE!
      Nov 28, 2018
    • Walmart.com $randomGuy
      I am afraid that 70% coding would be only to mine the petabytes of data. I feel implementing something is much more exciting.

      However, being said that, congratulations on your job offer. Go out there and if you like it, move up on the same track (e.g. senior, staff DS) or else you will have a big advantage with the Apple badge on your resume when you apply for MLE. Also, MLE doesn’t require PhD. All it needs is good leetcoding skills and decent ML knowledge. So keep working on them while you are at Apple.
      Nov 28, 2018
  • This comment was deleted by original commenter.

    • Undisclosed ZnYsb61
      OP
      Why? I get to work on ML with petabytes of data, seems much more interesting than building CRUD apps.

      Also TC upside seems much higher for ML proficient data scientists.
      Nov 28, 2018
    • Southwest Airlines pAPc51
      Everyone here is a SWE and thinks they're the end all be all of Technology. It's also why I hardly see any of them move to anything beyond middle management. No vision.
      Nov 28, 2018
  • New LosYork
    Just curious, are you coming from a BS or master, PhD ?
    Nov 28, 2018 1
    • Undisclosed ZnYsb61
      OP
      BS, but I had a lot of relevant data science experience from getting a paper published and internships
      Nov 28, 2018
  • Google bozdag
    What is the official title of your role on the careers site? Just data scientist?
    Nov 28, 2018 4
    • Undisclosed ZnYsb61
      OP
      There’s some HR jargon appended to it but yeah it’s “data scientist” on the career sites
      Nov 28, 2018
    • Google bozdag
      Thanks. Trying to assess whether it’s an ML specific role that I would need publications to apply for. I have the skill set but no industry experience.

      btw, I would spend the time learning new stuff. Once you hit work it’s very hard to cycle in time to learn brand new things because you’re focusing on moving the needle on work projects.
      Nov 28, 2018
    • Undisclosed ZnYsb61
      OP
      My role has ML elements but I’m not a core ML engineer, also expected to know spark, SQL, deal with biz stakeholders, etc. I had a publication in undergrad but I don’t think it mattered too much.

      I’m sure you’ll have no issues getting an interview with google on your resume!

      Yeah that’s likely what I’ll be doing. I haven’t had too much experience with Spark so will be learning that along with it’s ML library
      Nov 28, 2018
    • Spotify Nm3z2f
      You will likely not be implementing many (if any) ML algos but you’ll be able to use code every single day to solve puzzles. Which is more fun than debugging a single flatmap for hours and hours in my opinion 🙂
      Nov 30, 2018
  • Amazon Troll Food
    Enjoy your honey moon.

    Get more experience and be good at your skill, prepare for your next job or next level.
    Jan 30 0
  • Seagate toti420
    Hey congrats! Can you please share some of the technical questions they asked you at your interview?
    Jan 30 0
  • Apple eEVd54
    Welcome! It’s a lot of work but it’s fun. I would reach out to your manager and ask what theyd recommend you learn over the next few months to be most effective when you start
    Nov 28, 2018 0
  • Amazon Sam Walton
    Collect them all
    Nov 28, 2018 0