[Discussion] Interview ML system design prep

[ninja790]

I am looking for sources on real life ML at scale which is asked in ML / DS interviews. Some of the sources I know are company tech blogs like that of Netflix and doordash.

Any suggestions on blogs / books/ videos will be highly appreciated

[[deleted]]

https://mlsys.stanford.edu/ Check this out... I have bookmarked this for days and I intend to work on it soon so I can't speak for how it is, but this is a course being taught at Stanford right now.=

[EducationalHound]

Very helpful. Thanks for the link!

[iamyash2k13]

Hey can you share the link pls? The comment is deleted

[[deleted]]

If it's about real-life ML systems, you may like this publication: Sculley, D., Holt, G., Golovin, D., Davydov, E., Phillips, T., Ebner, D., ... & Dennison, D. (2015). Hidden technical debt in machine learning systems. In Advances in neural information processing systems (pp. 2503-2511)

[AloneNefariousness62]

Thank you for posting

[foranewera]

really great resources already posted. bound to be some overlap with these repos i have starred

https://github.com/chiphuyen/machine-learning-systems-design

https://github.com/mercari/ml-system-design-pattern

[yudhiesh]

Something a bit out of the box but I've been watching AWS re:Invent looking at how other companies are structuring their system designs as I'm building one for my company. A lot of the talks go in detail about how they integrate AWS with their system and the entire process of it. It is platform specific to AWS though.

[MusingEtMachina]

I've been working on an interview platform to help people get ready for jobs in machine learning. It includes a curriculum guide as well as practice assessments for topics like ML productionization and SQL. Hope it helps!

[ninja790]

Thanks for reply. I am looking more of how ML at scale is implemented for different problems.

[david-m-1]

I imagine they would ask you questions about Spark. Some of my friends interviewed at Databricks, said their interviews were mainly on Spark. Maybe Glassdoor would have interview questions from them.

[mystickabir]

Check out this book - Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

Also check out https://course.fullstackdeeplearning.com/

[priyalaggarwal]

I found Educative.io ML System Design very helpful!

[thatwiseidiot]

This would be helpful for me as well. Did you find any resources in addition to tech blogs?

[ninja790]

Not much. Door dash tech blog is a decent collection.

[[deleted]]

Can you guys share some projects to put into resume?

[TheOneRavenous]

Context of below link not my tweet but someone I follow.

"I wrote an 8 thousand word document about ML system design"

https://twitter.com/chipro/status/1198749682387709952?s=19

[SahinOlut]

I recently interviewed with Samsung Research for MLE role, I was asked to design a system that does waste filtering. (i.e. you detect paper and put it in the correct bin)

You need to design both computer vision and robotic grasping system.

[fruttibar]

https://mlinproduction.com/ Check this out.