Basically am an undergrad student doing a lot of research work with professors in NLP. Recently had some interviews with companies focused on other things such as robotics and CV and got instantly rejected because “my strengths do not fit what they are looking for”.

This has got me thinking that maybe it was a mistake to focus all my undergrad projects on one field such as NLP? It’s a bit late to diversify as grad school applications are soon. Since I have to choose a supervisor for grad I feel like they will have to be NLP focused as well to accept me, and hence will I be stuck in NLP for masters then eventually PhD and forever? How easy is it to switch focus to another area of ML later on?

Honestly I’m just kind of upset because it appears many companies and jobs are focusing on other areas of ML and AI such as robotics and CV (e.g. autonomous vehicles, etc.) whereas my focus on NLP appears to be significantly less desired.