How's working at Amazon ML Solutions Lab?

New / Eng cNNf41
Sep 24 19 Comments

I recently got a call from Amazon AWS - ML Solutions Lab for a customer facing data scientist. Involves working on ML/DL solutions based on the customer's data and business needs. They also mentioned that the role will involve traveling on-site to the client's location and presenting stuff. Please provide any details you have about the team, interview process, WLB, culture etc.

I already have an offer from a startup for a machine learning data scientist, the position involves working on building models for the main product. Offer: 180k cash + 200k in options.

Idk how seriously I should take a customer facing data scientist role at Amazon AWS? Do you think it's worth pursuing?

Current TC: 100k

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TOP 19 Comments
  • Oracle larry_off
    You’d be doing data cleaning, processing and SQL more than modeling at that team. They are on the same floor as my team. Most of the time trying to put fires out. Someone from the team could provide better insights.
    Sep 24 5
    • New / Eng cNNf41
      OP
      Ahh thanks for your insights though. The role seems blander compared to the startup. But it's Amazon and definitely there's some stability, reliability to working there
      Sep 24
    • Oracle larry_off
      Yes, my job is to give you insights I know. Your job is to collect all insights, put together all pieces and then make a decision. Wait for others to respond.
      Sep 24
    • New / Eng cNNf41
      OP
      Lol what 😂
      Sep 24
    • Oracle larry_off
      I meant I gave you whatever insights about the team I could. You should collect more insights and then make your decision. What part of English isn’t clear?
      Sep 24
    • New / Eng cNNf41
      OP
      Nevermind. I just thought it was a funny sarcastic comment 😊
      Sep 24
  • Oracle goinnuts
    What is ML/DL? Mother in Law/Daughter in Law?
    Sep 24 4
    • Oracle larry_off
      That is what you build at Oracle and not Amazon.
      Sep 24
    • Oracle goinnuts
      😂😂😂
      Sep 24
    • New / Eng cNNf41
      OP
      Lool ML = Machine Learning, DL = Deep Learning. Millennial lingo I would say. And idk if this was a rhetorical question 🤣
      Sep 24
    • Oracle goinnuts
      Lol was joking guys.
      Sep 28
  • Capital One FatherRob
    They seem to be recruiting aggressively - I've been contacted twice by 2 different recruiters in as many months.

    I have a lot of the same questions - how much travel, how much of the work is interesting / innovation vs putting out fires for customers, etc
    Sep 28 1
    • Oracle real_larry
      Many systems at Amazon are developed and are working to a good extent. So the so called SDEs work on improving ML systems deploying the models. Few actually work on coding ML, but then again, they don’t have much say in what ML algorithm to use as you’d be making an API call to use these algorithms. These algorithms are developed by AS (Applied Scientists) and these AS are currently working on innovating ML models.

      So most of the time you’d be working in ML space but not actually doing the real ML. This is 90% of the time and is the same at Google and FB as well. I heard about t from friends at FB. I have experienced this firsthand at Amazon and Google
      Sep 28
  • This comment was deleted by original commenter.

    • Oracle larry_off
      That’s the offer OP got from startup and not Amazon. Read it ffs.
      Sep 24
  • Amazon / Eng cinox
    Anyone know how the org / team is?
    Nov 1 3
    • New / Eng cNNf41
      OP
      I've heard - 'meh'
      Nov 1
    • Amazon / Eng JeoB
      Could you be a bit more elaborate OP?
      Nov 3
    • New / Eng cNNf41
      OP
      So it's a customer facing team. You'll be a lot of POCs rather than real projects, deploying models. Involves a lot of traveling going to clients workspaces and presenting how you can solve the client's ML problems using AWS. That's the ML solutions lab.
      Nov 3
  • New / Eng cNNf41
    OP
    I just had the first round of phone interview with them. The guy asked me questions related to Deep Learning and Machine Learning with some focus on NLP since that's my area of expertise. Then there was coding where he asked me to code feed forward neural network from scratch in numpy.
    Sep 28 0

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