[MSc Fresh Grad] Suggestions on interview prep. (ML Eng. at Amazon, Berlin)
Anonymous User
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Got my first (virtual) onsite coming up consisting of 5 interviews. When I asked the recruiter about the type/format of each of the 5 interviews (machine learning, data structures & algos, sys. design, behavioral, bar-raiser etc.), they said all will be mix of behavioral+technical and that they cannot say anything more than that. I find this rather odd as I thought recruiters at Amazon shared the type of each interview even if the candidates don't go out of their way to ask for it. Oh well :/ .

Since this is my first ever final interview for a ML Eng. position, I am a bit confused about a few things:

  1. Should I prep. for a typical sys. design interview or a ML sys. design interview? Or both?
  2. Should I prep. for ML coding questions (e.g. K-means from scratch, or gradient descent from scratch, etc.)?
  3. Should I prep. for ML case interviews (the kind they ask for Applied Sci./ Data Sci. roles)? Is there even a difference b/w these and ML sys. design? Lol, the fact that I'm asking this question should be very telling about how confused (and un-prepped) I truly am :/

If anyone has any experience with ML Eng. final rounds at Amazon Berlin, I'd appreciate suggestions (especially for ML sys. design prep. material as I don't have much experience there)!

Also, what do you make of the following schedule (guess the interview type/format. It might help to decide what to revise during the breaks between interview):

Interviewer #TitleMy Guess
1Front-End Eng. IIIBar Raiser (probably object oriented design)
2Sr. SDEData Structures & Algos
3Sr. Applied Sci.ML Interview (maybe also a ML case study?)
4SDE + ML Eng.ML Sys. Design (or could be ML coding? e.g. K-means from scratch)
5Applied Sci. ManagerHiring Manager Interview (no clue what to expect)

Any advice on what to expect in each one of these rounds will also be helpful! Thanks!

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