Tech IndustryOct 19, 2017
Salesforcesupermeme

Should I go to grad school?

Should I go to grad school? I'm interested in ML & AI and wish to work in this field. To give some background, I'm a third year undergraduate at a research-heavy university. I interned at Salesforce this summer at a machine learning team, and will be joining Facebook for next summer internship. Going to grad school, pros: - Work on more interesting projects when I join industry later (research labs only seem to be taking PhD / Masters) - Possibly higher pay (I've heard stories of research scientists at top firms being paid 7 figures) - Deep learning is all the hype right now - I'm still young and early in the game and free to pursure opportunities that I may not have the chance to later in life (eg: when I have a family) Going to grad school, cons: - Already a lot of engineering teams are using ML in their work (although it won't be state-of-the-art — I've heard most production teams even at the big 3 are still sticking to pipped-up random forest & boosting models) - Money & time commitment - I'm getting pretty sick of school (maintaining GPA is stressful) - Deep learning could be a fad and specializing in this area might not have negative affects in terms of future career opportunities Are there any engineers in the industry currently regretting going to / not going to graduate school?

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UL lgsU02 Oct 19, 2017

Grad school is hawt. If you go, I'll be inclined to deep-learn your bod ;)

Google YTBs33 Oct 19, 2017

By the time you get done, ML will be yesterday’s news. There are also a limited number of current problems that ML can effectively address, it requires huge amounts of data and a clean signal to predict on. The world doesn’t really need that many good ML researchers, it mostly needs code monkeys

Salesforce supermeme OP Oct 21, 2017

Thanks for the reply! Are you working in a ML team at Google by any chance? How fast is the adoption of latest research to production there?

Amazon shivoham Dec 15, 2018

Good time to go to grad school is right now !! I know people who want to do a Phd at 26 or 30/35 years of age and I don't think they can go back to a poor pay life. Also your social life goes for a toss. Hard to manage with family or kids! If you want to do a phd later on in life - Then better idea is to land a job in a research organization e.g. MSR or FAIR or AML - Some of the biggest skills you learn during a PhD : 1. An appreciation and ability to separate cutting edge work from incremental work a.k.a low-hamging fruits. Many fresh grads at FAANG work on hacky or low-hanging fruits. Quick results but not focusing on long term impact. 2. Ability to come up with high impact ideas esp. for an ambiguous or tough problem - Something no one has thought of before. 3. Ability to go deep (really deep - Like super deep-dive using Amazons LP terminology ) into one tiny area of technical expertise. This deep dive can be at all levels - Math, experimentation, design, etc. 4. Ability to sell your work scientifically through publishing papers. If you are getting many of these in your current role or a future role - And you are not at a stage of life where PhD is an option - Then forget about it! There is more to life than slogging 15hrs a day in a lab (And I can say that because I have gone through it).