Industry vs Academia in Machine Learning

What things to consider while deciding

Choosing careers in itself is difficult. Add the time commitment of 5–6 years for a PhD as compared to the lucrative industry job and your mind boggles with the possibilities. I was in a similar position after my undergrad and master’s (yes both times).

If you know my career path I was luckily introduced to research during my sophomore summer where I worked on semi supervised relation extraction. Later I worked full time at a research lab before joining grad school. This gave me a glimpse of the life as a full time researcher / PhD student.

But despite the research experience I joined Microsoft (where I am currently working) after my Master’s. The process of decision making was tedious and therefore I finally pen down my thoughts.

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