Here are some ridiculous expectations for Machine Learning interviews

Рет қаралды 17,117

Күн бұрын

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@josephmargaryan 14 күн бұрын

I had to go through 5 rounds of interviews. In the final interview, they asked me to prove Poincare conjecture, and I just happened to know how to do it, and that's why I got the job. Ever since I got the job I have been asked to clean Excel sheets and provide summary reports to the head of sales

@vunguyen2246 14 күн бұрын

Omg

@teistensean7227 13 күн бұрын

Lol wtf

@divinefavour1289 11 күн бұрын

are you for real?

@josephmargaryan 10 күн бұрын

@@divinefavour1289 Yes. During my first interview, I talked with a guy with a computer science PhD. Then, my following interview was with a guy holding a PhD in biomedical engineering. Then I talked with the head of sales and some guy with a PhD in nanoscience. Then, my last interview was with my current manager, who holds a PhD in math from Oxford. No kidding. The head of sales is butchering me because I shifted the numbers from the Excel files. They were unstructured…

@e404 16 күн бұрын

ML is the new fullstack

@LuccaCedeño-p7m 16 күн бұрын

So true

@harshtripathi4113 16 күн бұрын

Not just full, but an overflown stack.

@YouHaveToLoveMe 15 күн бұрын

It's like our universe, it's expanding like anything every single day

@quickpert1382 14 күн бұрын

The fullstack with PhD

@jimenezluis33 13 күн бұрын

@@quickpert1382 pHD to do any stupid non sense job in the company or fill spreadsheets or rearrange the disasters of someone else

@amyrlexiion4688 15 күн бұрын

When everyone thought future of AI is AGI, its actually API

@vyas1 14 күн бұрын

This is too funny 🤣

@Xnozea 17 күн бұрын

You guys are getting interviews? Best I can get is application rejection e-mail. Man I gave 4 years for application rejections.

@fr5229 16 күн бұрын

You learned the entire modern stack + ML in 4 years?

@Xnozea 16 күн бұрын

@@fr5229 No. Not the entire SWE stack. I am an economics graduate(have econ masters too). I came from data analysis route and started with R. Because of my background ML and Statistical Modelling was kinda easy. Then I started to learn SQL and Python. And then I learned data engineering and data science tools for GCP(such as BigQuery, VertexAI, Dataproc, Cloud Run for Streamlit and Shiny applications yada yada). I also used all of these as either learning projects or you know something a little bit more advanced projects. Solved many questions on StrataScratch. I did lots of web scraping and EDA and ML stuff in my free time because they were fun really. Learning process lasted like a little more than 3 years. I was also busy with my econ masters classes and thesis. Last year I wasted my time with a shitty Business Analytics internship(for 8 months) where you only needed Excel. I did my work with pandas there I only used Excel for collobration. Even that internship wasnt enough I guess.

@JamesGelok 16 күн бұрын

@@fr5229 don't think Xnozea said that

@Xnozea 16 күн бұрын

@@fr5229 Oh man I gave you a lengthy answer and KZbin removed it lol. Long story short. I learned modern ML stack(r, python,sql, relevant GCP services from data engineering to application deployment) minus traditional SWE stack (since I am an Econ graduate. I also have econ masters.) within 3 years(during my masters). Last year I wasted my time with a bad Business Analytics internship where Excel was sufficient to do the work.Thats why I said 4.

@Xnozea 16 күн бұрын

@@fr5229 bro I tried to answer your question 2 times. KZbin keeps removing them.The answer was 3. Then I found a bad internship.

@rashim 14 күн бұрын

Requirements of DSA, Devops, System Design is also an issue for other specializations. The whole Computer Science interview process is f*cked up

@alexisdamnit9012 16 күн бұрын

As a Sr ML Engineer and AI engineer I can confirm this interview process is exhausting to the core. Once you hit 30, you’re already over the grind and you just want to enjoy work life balance - so studying for weeks on end for a stupid interview is really exhausting

@martindbp 16 күн бұрын

Try it's with small kids as well...

@RitwikDandriyal 13 күн бұрын

This is something I relate to so much! Spent the last year interviewing with 10 different companies and every single one is a completely different experience where people don't know what they're looking for. The worst, and the most frustrating experience I had was with this company that's into electronic equipment manufacturing that was setting up a new ML team. The title of the role had everything in it (Data Scientist, Software Engineer, R&D Engineer). I was really excited for the role and pretty much aced all the screening and ML rounds with ML researchers and PHDs. Everything was set in place and I was 100% sure of getting the offer (the panel was also confident about me), until this "Software Engineering" final round spawned out of nowhere. I have never done much leetcode in my life as a Data Scientist, and absolutely bombed the interview as I was asked a backtracking question that I had no idea of how to solve. Till this day, this has been the most frustrating experience ever.

@AshishBangwal 12 күн бұрын

hey ritwik, was it a south-asian company, and do you have research exp or PHD?, i am in pre-final so just looking for simple advise on how to break into the ML field from experienced peeps just like you, Thanks.

@dhillaz 16 күн бұрын

Any unicorn with all these skills doesn't apply to employers, they apply to *investors*

@developerashish6849 17 күн бұрын

This is the most relatable video ever. I wish i would've have chosen another field. Interviewers expect everything man, i have been rejected so many times because i didnt know something which is no where related to the Job description. I recently gave an interview for NLP engineer and they asked something related to computer vision which i used to work on 3 years ago, i obviously have forgot many things so couldn't answer it, and they rejected me. They somehow thinks that a ML Engineer should somehow know everything related to AI + software engineering + DSA. Man i m tired of trying to crack this field.

@viswesz 15 күн бұрын

thanks for addressing this issue, was struggling for years

@goodboy4129 16 күн бұрын

i was asked to explain the working of a transformer model for an internship position in india they were expecting to pay me 250 dollars per month😭

@Bhavishya_est 16 күн бұрын

Purchasing Power Parity

@IarukaSkYouk 15 күн бұрын

jesus fuck man. no wonder why you guys all study like mad. the competition and level of rejection is so high

@srikrishna2561 14 күн бұрын

That's great for an Internship right ? (In India)

@aliensamv3997 14 күн бұрын

@@srikrishna2561 true i did my internship for free

@goodboy4129 14 күн бұрын

@@srikrishna2561 Not really it required me to shift to another city The rent and transport alone will take up that much, security guards earn that much but don't need a college degree for it 😄

@lex494 16 күн бұрын

I was able to land a junior data science position this year, after working in business intelligence for 2 years before. I was promised building data pipelines, forecasting, python etc. just to end up doing power bi off sql queries for non tech execs and sales people who tbh don’t even bother using them

@EobardUchihaThawne 16 күн бұрын

u mean ur work is mostly about data prep?

@teistensean7227 13 күн бұрын

Probably reality thou, unless he work in the Silicon Valley but majority of company still use excel, power bi, tableau too i supposed

@awesomeGuss 15 күн бұрын

REAL man i wish i saw this before I got sold on the hype for real

@andiuptown1711 14 күн бұрын

Just do swe

@mdreid 15 күн бұрын

Pronounce “Kubernetes” wrong? Rejection.

@PickleNoDie 14 күн бұрын

had an interview for a software engineer job the other day, bluntly asked the guy about the really dodgy Glassdoor reviews.... told me the place is a hellscape and that 10 people have quit in the last 2 months... then asked me if I was ready to continue.... think we are done here lol ( though I really appreciated his honesty)

@my_study_channel-po4bn 16 күн бұрын

For fresher ml engineer they need SQL, ML ops, Pipelines, spark, pytorch, tensorflow, keras powerbi or tableau, Azure,gcp or aws or everything, Excel , statics and maths, NLP , python or R or both . Now LLM with some magic also needed

@awesomeGuss 15 күн бұрын

you forgot to add ML theory too

@quickpert1382 14 күн бұрын

@@awesomeGuss or fking darknet. I still do not understand why they ask for tensorflow, it is a red flag. Also he forgot bash.

@StEvUgnIn 8 күн бұрын

For someone who lives in Continental Europe, I am experimenting a different reality where everything that counts to recruiters is the credential and the level of experience of the candidate. I feel they should test the ability to write codes more instead of basing their choice on their gut.

@Spectacurl 16 күн бұрын

I manage to land an amazing job that I actually like, but my last interview was a fucking topology problem… You know, the math field used in relativity. If I wasn’t a physicist that just happened to re read a topology book just because, I wouldn’t pass that interview. Why topology? Why not?

@jothamprince8765 14 күн бұрын

🤣🤣 wtf ??

@vincentadultman6226 13 күн бұрын

Wtf is going on? Why did they even expect you to know that? Are you a PhD?

@parl8150 16 күн бұрын

I mean, the field was started by researchers and mathematicians. The knowledge built up is really huge here. No wonder half of the positions are for phd’s.

@elgatodelamuerte 16 күн бұрын

You missed the point - the experience is irrelevant if it's not going to be put to use. What's the point in hiring a ph.D only for him to use Excel and PowerBI

@parl8150 16 күн бұрын

@@elgatodelamuerteI meant, that a historical kind of momentum is here. The bigtech hires Phds for actual complex work, and all of the other companies be like “they hire phds for this, we will also do that”

@fr5229 16 күн бұрын

@@elgatodelamuerte warehousing talent

@xyzabc123-o1l 16 күн бұрын

question, as this is what im currently doing-- im working a normal basic programming job to pay my bills while also working on solving my own problems using my own ML(and otherwise) solutions, in hopes of starting my own business, specifically to avoid all of the problems youve described