"When I completed my Ph.D. in AI at Northeastern University in 2023, the AI job market was a world away from the red-hot AI talent war Big Tech companies are waging now. I secured a job as an applied scientist at Amazon after interning there in the summer of 2022. This was before the company implemented a hiring freeze for the rest of that year."
"It demands lots of discipline and motivation. In fact, during one of my semesters, I was so caught up with coursework and research that I barely had time to eat. I ended up creating a simple stew and eating it week after week for the entire school term. It was just that hard. That's on top of the time taken. A Ph.D. candidate could spend about five years trying to complete it. That time could have been spent gaining practical experience in the working world."
"There's still a lot of value to be gained from getting a Ph.D. in AI. Of course, you could try to self-learn about the field through on-the-job training. You might even get to build some products yourself. But if you want to shape the future of AI, you need to do a Ph.D. Going through the process of getting a Ph.D. will make your learning process a lot more structured and precise. That has become very important now, given how competitive AI research has become."
An applied scientist at Amazon Web Services completed a Ph.D. in AI at Northeastern University in 2023 and secured an applied-scientist role after a summer 2022 internship prior to a company hiring freeze. The AI job market has shifted dramatically, with top-tier Ph.D. researchers potentially earning million-dollar paydays at major firms. Earning a Ph.D. in AI typically requires five to six years and demands intense discipline and motivation, often at the cost of personal time and routine. While on-the-job learning can build practical skills, a Ph.D. provides structured, precise training necessary to shape competitive AI research and long-term innovation.
Read at Business Insider
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