Is MS required to climb up ML/ DL Tech ladder
Apr 4, 2021
82 Comments
I have my B Tech but haven’t done masters yet. I am looking to apply for roles relating to ML applied scientist (carrying out e2e model development)
Quick background - have had a few stints where I have majorly done analytics (role of a data scientist) and just starting to get into building DL models. I wanted to stick with python/ applied model work than dealing with SQL.
Does anyone have suggestions ?
I have a few coursera courses done already but I was wondering if I ll be dubbed as a junior - and given some busy work without MS in this field.
YOE : 2+
TC : early 100k
Thanks in advance! #data #dataanalytics #datascience #machinelearning #faang #softwareadvice #softwareengineer #deeplearning
comments
Lol, but phd is better
PhD training, regardless of the topic, comes with tons of rejections in paper submissions, rigorous concepts, and ability to lay out solutions to ambiguous problems.
True, industry experience might replace that, but you need way many years. Of course, to manage people or projects you don’t need to solve problems and that is probably what most MS ended up career wise.
Just prep hard and apply to many roles you need to get lucky just once
If you can answer later normalization and vanishing gradient you'll get a 250k applied Scientist role
If I get into a new role, is it possible I might not be considered for certain responsibilities because I don’t have an MS ? This is currently happening in my work and thats the reason I wanted to look for a change / think about MS.
Also - without MS can I keep climbing the ladder in this role (applied scientist / ML engineer) ? Don’t want to have the regret of missing out because I don’t have the MS tag.