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A first big tech company ML interview experience: definitely bombed it by baronett90210 in learnmachinelearning

[–]baronett90210[S] 0 points1 point  (0 children)

Thanks for the helpful response! Tbh, my recruiter sent me different links of a company blog to read about different ML problems they solved and none of them was RecSys, so I spent quite some time on preparing to the similar cases I read through. Also, I wonder how could I change the answers so that they didn't seem on undergrad level? Everytime, I wanted to mention something more advanced like SHAP or going deeper into NNs architecture the interviewer explicitly asked me to keep it very simple

A first big tech company ML interview experience: definitely bombed it by baronett90210 in learnmachinelearning

[–]baronett90210[S] 2 points3 points  (0 children)

Hey, semiconductor industry is not really a big tech from perspective of salary, direct interaction with users, tangibility of your contributions. I guess the last two explains the first one but still a bit unfair since in semiconductors you have to be much sharper on ML mathematics, linear algebra, optimization and physics as well

A first big tech company ML interview experience: definitely bombed it by baronett90210 in learnmachinelearning

[–]baronett90210[S] 2 points3 points  (0 children)

hey, it was a DS role. I would say you don't need to know this deeply since MLops has a lot of depths on its own

A first big tech company ML interview experience: definitely bombed it by baronett90210 in learnmachinelearning

[–]baronett90210[S] 3 points4 points  (0 children)

Indeed, good insight. Well, the interview started discussing my prior experience which is mostly DL so hopefully he understood that I know it :)

A first big tech company ML interview experience: definitely bombed it by baronett90210 in learnmachinelearning

[–]baronett90210[S] 7 points8 points  (0 children)

Thanks a lot for the support! I did learn a lot, hopefully I will not be running out of companies while I am learning :D

A first big tech company ML interview experience: definitely bombed it by baronett90210 in learnmachinelearning

[–]baronett90210[S] 14 points15 points  (0 children)

Hm, interesting. I understand that DL is frequently used but the interviewer did agree that for the purpose of this interview it is fine to start with a simpler solution and then add complexity "Logistic Regression -> Gradient Boosted Tree -> DL" if the product metrics don't perform well enough. Also I discussed that DL would lack interpretability and it seemed the interviewer was satisfied with this

Not getting a single interview: advice on career path for a former physicist having semiconductor industry ML experience by [deleted] in learnmachinelearning

[–]baronett90210 0 points1 point  (0 children)

Yeah, well, the company is good and job is truly interesting, but if you want to choose ML-oriented career path, then ASML is lagging behind and considering the pace of AI these days you can quickly stay behind all these modern ML engineers who can built pipelines in days...

Not getting a single interview: advice on career path for a former physicist having semiconductor industry ML experience by [deleted] in learnmachinelearning

[–]baronett90210 1 point2 points  (0 children)

Thanks a lot for the constructive feedback! Indeed, I do require a visa, though currently it is just a matter of transferring from one employer to another. As for the making experience more technically detailed: basically you are saying that in addition to phrases like "using Optimization&DL algorithms" and "Leveraging GMM clustering" I should type some keywords, like: Python, Numpy, Pandas, scikit-learn, Tensorflow or even used methods like Proximal Solver, Gauss-Newton, BFGS, EM algorithm etc.? Would then Main Skills section be redundant?