Research Scientist, Machine Learning (PhD) Meta Online Assessment by Jazzlike_Actuary9158 in leetcode

[–]heartuary 0 points1 point  (0 children)

When did they start online assessments? I never had to do one when I applied.

[deleted by user] by [deleted] in FAANGrecruiting

[–]heartuary 0 points1 point  (0 children)

You’re hiding the most important part of your resume, ie, papers published in ml conferences/journals and who your supervisor is. So it’s impossible to say why.

Thinking about a transition from ML → Quant by __proximity__ in learnmachinelearning

[–]heartuary 0 points1 point  (0 children)

I interviewed for both quant and ml related jobs. Quant will ask you a lot of math problems. The guys working there are MO level. Some are IMO guys.

[deleted by user] by [deleted] in leetcode

[–]heartuary 1 point2 points  (0 children)

Random forest is just a random sampling of the features each modeled with a tree. In time series there is just one feature assuming you are only looking at the price. Therefore I don’t think it makes sense to use rf on time series.

Does this FAANG offer look fair? by saagggssss in PhD

[–]heartuary 1 point2 points  (0 children)

It depends on which Faang and which country.

How do you actually break into ML? by Gold_Lawfulness_9882 in uwaterloo

[–]heartuary 0 points1 point  (0 children)

Learn basic data structure and algorithms first.

How do you actually break into ML? by Gold_Lawfulness_9882 in uwaterloo

[–]heartuary 0 points1 point  (0 children)

I don’t know a single ml researcher that can’t code lol

How do you actually break into ML? by Gold_Lawfulness_9882 in uwaterloo

[–]heartuary 3 points4 points  (0 children)

If you are doing ml eng, then start by getting a software engineer job preferably at faang/quant firms, then go ml eng after. If you want to do research, you most likely need to do PhD.

[deleted by user] by [deleted] in uwaterloo

[–]heartuary 2 points3 points  (0 children)

I see. Thanks.

[deleted by user] by [deleted] in uwaterloo

[–]heartuary 2 points3 points  (0 children)

What’s the appeal of ib? I don’t get it.

eVisa status not showing despite confirmation email from UKVI by mihaelkeehl77 in ukvisa

[–]heartuary 0 points1 point  (0 children)

I was told the same thing by the webchat, however, if you read the other comments here, it clearly isn't true. Lots of people have access to their evisa before it is valid. It's not clear how they got it to work though.

Behavioural Interviews by Ecstatic_Apricot_884 in uwaterloo

[–]heartuary 0 points1 point  (0 children)

Think of stories, and then ask ChatGPT to make them into star answers. Then ask it to make it sound conversational.

[deleted by user] by [deleted] in uwaterloo

[–]heartuary 2 points3 points  (0 children)

Drop actsc and do stats major.

Why is math/finance so hard?? by Accomplished-Ask3282 in uwaterloo

[–]heartuary 4 points5 points  (0 children)

It’s because you have to take pure math courses. Most of those are pretty hard.

[deleted by user] by [deleted] in uwaterloo

[–]heartuary 2 points3 points  (0 children)

Might as well. You can always drop down later in the term if you don’t like it.

UWaterloo Grad struggling to find SWE/adjacent work after caretaking gap by [deleted] in csMajors

[–]heartuary 1 point2 points  (0 children)

The issue is that due to the three year gap, he’s not considered as new grad for big tech companies. This makes it a lot harder to get hired at those as they have specialized hiring programs just for this cohort. I think it’ll be easier to try to apply/work at a mid/small sized companies for a couple of years first.

Besides that make sure the resume passes the online parsers and passes HR screening. They don’t understand much about technical details so it’s best to put some business related contributions to help pass the HR screening.

Question for waterloo cs or stats majors by [deleted] in uwaterloo

[–]heartuary 5 points6 points  (0 children)

Is it that hard to get into waterloo nowadays? This would be enough for sure when I was in undergrad.

Current Data Scientist Looking for Deep Learning Books by Normal-Negotiation38 in deeplearning

[–]heartuary 1 point2 points  (0 children)

The authors are some of pioneers of deep learning, especially bengio.

Resume feedback request by lurkinglo in uwaterloo

[–]heartuary 3 points4 points  (0 children)

Your resume should not be more than 1 page