Viewing profile — eshvk

You are right, my mistake.

> H1B: The problem now is that the visas seem to be harder to obtain and have a longer delay. I know people who were stuck waiting for multiple months to do a transfer. > L1: My un…

One thing I have observed is that engineering roles at national labs tend to have a lot of paperwork needed for an interview. I can understand a faculty role requiring recommendati…

> In the broader sense, I guess my question is what are the next steps to build on this basic recommendation system? What is a good way to serve recommendations based on user behav…

Not really sure what your central question then is: The general theme for building a recommender system architecture is: 1. Decide whether you are okay with a batch approach or an …

There are roles called Machine Learning Engineers/Research engineers. The work does require enough background in ML; as in it is non trivial to implement an algorithm, consider app…

I work in this field. I can tell you that the maths involved is an easier (and more exciting) learning curve. A lot of software engineering already involves the tools necessary for…

Spotify extensively uses Scala for data infrastructure and ML feature engineering.

> I work in Sweden. I don't think I have seen ever anyone fired. What I have seen is some of the best hiring processes. The process looks at the candidate values, and skills. And t…

There is/was a option available for F1 Visa students called OPT (optional practical training). It could in theory run up ~24 months depending on the company having everify or not.

> Probably will start with either linear algebra or maybe set theory? This can work. I spent a year or so before grad school at work, I brushed up by spending a summer drilling thr…

I think the poster assumed that data science/computational work could provide the mathematical background the OP is looking for. Because Anaconda is a package of tools that include…

> Sure I have a new found love for math, but I'm not going to be accepted as a mathematician ever without the rigor of a formal education I think there are two separate things here…

Also things like qualitative user testing, a/b testing would go into every single pixel of his design. I am not particularly sure if the most important separation of the music list…

> My theory is that they have a few people manually curate a list with good songs for a while to train an AI, but when they finally turn control over to the AI it falls on its face…

Noise cancelling headphones don't really drown out conversations. You should get in-ear headphones.

> Many of the people share similar backgrounds Not sure where you get that from. I find significant diversity in academic backgrounds amongst the people who do ML/AI. Some folks in…

Apparently the new hotness is AI. The last five years have seen titles with similar(ish) roles evolve from Data Scientist -> ML Engineer -> AI Engineer

> mathematical/academic concepts like big O I hope I am not nitpicking here but ain't nothing wrong with knowing the time/space complexity for code you'd write. Especially if you a…

> is just not built for Deep Learning What does a "built for Deep Learning" GPU do that the K80 doesn't do?

> Hey let's be honest, most academics (that I know) still don't even use LaTeX (or refuse to do so). What field? TeX is pretty much de rigueur in Math/CS/Physics graduate schools i…

I work at Spotify on ML. I spent quite sometime working on our production vector model pipelines. We have three components: 1. Training data: Scalding pipelines (could be any large…

> Well no, there doesn't have to be that many people in the interview, especially the first one. I've never heard of recruiters being there for the interview at all. The recruiter'…

> go after normal business hours Think about it from the other perspective, you want to do an interview after normal business hours. This means that a recruiter, several engineers …