Working for free vs Improving skills for a PhD wanting to go into Industry
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TL;DR: As an under-qualified software engineer in Australia that came from overseas, should I offer to work for free or should I keep working on my skills before applying for a paid job after PhD? Goal: To get a full time job in Machine Learning / Data Science and graduate from PhD asap. Background: I've attained my Bachelor's from software engineering, worked as a software engineer for about a year (6 years ago), finished a master's degree in Computer Science (all of them overseas), had about a year of gap before starting my PhD in Australia (now 1.5+ years in). My PhD is also in Computer Science, funded by a scholarship from an Australian university. My PhD is in a very similar/same field with the job that I would like to get into (Deep Learning / Machine Learning). I live in a small-ish cit