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
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MS will help. Coursera is cute but not taken seriously. Work experience helps.
Unfortunately I would add. The content on coursera is often good.
The content is good but anyone can take a courses course
Thanks for the suggestions.I don’t have visa issues. 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.
MLE at Google/Facebook (or a top unicorn like Moveworks 😉) will be as valuable as any AI/ML masters degree, in fact more so because you'll actually have experience shipping models in production.
I've heard kaggle challenges help to get attention to a profile. Check those relevant to fields you want to change careers. Maintain a github repository of your work. Include that in your resume and apply for jobs.
Nah don't bother 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
You need a PhD for the kind of work you want
No you don’t, but it definitely helps.
^ Google is right, it’ll help but there’s many examples without
Agreed, we need a doctorate to be the lead research scientist but lately have noticed some of these applied ML roles have sprung up and that’s what I was looking to target.
Get a master's and work with a prof, publish couple of papers, get an internship. All this helped me land a job in the alexa ai as applied scientist
Above is fine. Point is not the diploma; its the training
All you need are the skills. How you get them, no one cares. Getting research skills outside grad school is hard, but maybe if you work on that you can get it.
I mean, if you weasel your way into a team that does research, and then publish — and in the talk you are giving while publishing, no one is checking your degrees. Your work stands for itself.
You ain’t need nothin for success, if you know the basics very well. There are handful number of quality researches from the industry who don’t even have masters. While i agree getting into might be hard, but if you have enough knowledge you would shine.
If you are looking to switch jobs at this stage (yoe ~2) I believe MS on your profile would result in more interview calls. I noticed that recruiters started reaching out to me more once I put MS in my profile. I'm doing online/partime MS which I found out to be perfect for my case.
Do you mind sharing which part time master you are doing? And how’s the experience? I’m also interested in something similar
I'm doing computer science engineering with specialization in Machine Learning at Georgia Tech. So far I have positive experience. It can become hectic at times but plus side is we don't need to leave our jobs to get the exact same degree.
An MS can help you get your foot in the door, but assuming you have no visa issues it's worthless after the first relevant job in the field. (A PhD is a completely different story and is all but required for highly academic jobs, something which is very difficult to substitute with industry experience.) So maybe apply to ML jobs as well as masters programs at the same time? If you get your dream job, great, you don't need a masters; otherwise, it's a sign that maybe you do need to go get your masters.
I got the job in ML and then another. Half way done masters, gonna keep going until I'm done and hoping it helps me out at least a little