Meta interview for Research Scientist

Amazon
FoodLover9

Go to company page Amazon

FoodLover9
Feb 16 16 Comments

Getting into interview with Meta for Research Scientist AI, and I wanted to know what to prepare for, what is the structure of the interview process, if I need to practice leetcode, at what level, and all that jazz.
#tech #meta #career #leetcode
TC: 225 (Canada)

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TOP 16 Comments
  • Amazon
    BlekPentha

    Go to company page Amazon

    BlekPentha
    Op, did you start interviewing? How is it going? I have my one starting in 2 weeks.
    Mar 7 7
    • Apple
      butlar

      Go to company page Apple

      butlar
      Damn. Very similar to my bait and switch experience with apple.
      Mar 15
    • Amazon
      FoodLover9

      Go to company page Amazon

      FoodLover9
      OP
      Yeah, seem to be more and more the case that companies pulls bait and switch for recruiting. I am tempted to negotiate a clause in the hiring contract to have a bite back and get some significant $$ if they bait and switch with the role. Don't know how that would play out though.
      I think that most companies do not want to take risks and do deep learning. They are sold big data platforms and cloud data platforms to process structured data and do analytics, so they need random forests and xgboost, they don't want to take risks with deep learning.
      Mar 15
  • Apple
    iBitApple

    Go to company page Apple

    iBitApple
    What is your current role at Amazon?
    Feb 16 4
    • Amazon
      FoodLover9

      Go to company page Amazon

      FoodLover9
      OP
      Ah, ok. I have research experience in industry for 5 years (out of a career or 17 years) and they have been trying to hire me for the past 2 years, so maybe that is why? I do not have a PhD nor master.
      Feb 16
    • Amazon
      FoodLover9

      Go to company page Amazon

      FoodLover9
      OP
      I also recruited back in my previous job for my research team, and to be honest I didn't give a shit about the candidate's PhD.

      Way too many candidates with PhD that are not really good either for industry. They are hyper focused on the area of their PhD's thesis and don't know much outside of it. (Compared to somebody with a master's and experience, or just a lot of experience).

      After all, what are the odds in industry that you are working on a project that is directly relevant to the hyper focused specialization of the PhD? I recruited 5 scientists over the years, with 2 having a PhD, and the 3 others not. The 2 PhD while brilliant on the theoretical side, could not make reproductible experiments due to poor coding capacity, and couldn't explain clearly and simply anything to non scientists stakeholders. They overall underperformed compared to the non PhD. I even had to fire one after a Pip (Not Amazon).

      Of course it could just have been selection bias, or just a coincidence with just 2. But 2 out of 2 underperformed while 3 our of 3 performed adequately, or overperformed.
      Feb 16
  • Splunk
    gaudydino

    Go to company page Splunk

    gaudydino
    My phone screen was 60 minutes. I had 1 LC easy, 1 LC hard within the first 20 minutes, followed by a ton of ML questions on some Deep Learning fundamentals. Thought I did well, but I guess not after the recruiter got back to me after 2 weeks, and only after I had pinged him. This was the hardest and worst experience I had by far. I think the phone screen is basically random and depends on who you get that day.
    Mar 15 1
    • Amazon
      BlekPentha

      Go to company page Amazon

      BlekPentha
      I am scared now. I have two upcoming RS 1 hour blue jeans screens at Meta. One with the FAIR team and the other with a less "sciency" team. I know I don't have much chance in the first team, so planning on using that as a prep for the second one.
      Mar 17
  • Following
    Feb 16 0