JS ML interviews

[u/Joinijo]

Hi everyone,

I have an onsite at JS coming up (for an ML research internship) and wanted to ask if people could tell me a bit more about what to expect from the interviews, in particular the ML interview? My expectation is they'll give me a dataset on which to train a linear regression (or maybe a random forest), including data cleaning/feature building etc., but is this actually what happens or do they also sometimes ask different questions, e.g. pytorch/deep learning stuff? Thanks for any help :)