"In my final year of undergraduate studies, I stood at a crossroads between quantitative trading and pursuing a career in technology. Blinded by the initial high salary and prestige, I joined a firm in India as a quantitative strategist for the summer. I enjoyed it, but I wanted to push boundaries in my career and was increasingly convinced that I should return to school to explore more options. I decided to move from India to the US for my master's degree in computer science."
"For one AI startup engineer, returning to school provided an opportunity to explore what an AI career would be like before committing to it. For another, moving to the US for a graduate program opened doors to being closer to the center of the action in Big Tech. In another case, relationships formed during college - with peers, professors, and mentors - continued to shape his career even long after graduation."
Three people leveraged college experiences to pivot into AI careers through graduate study, mentorship, and networking. One engineer left quantitative trading and returned to graduate school in the US for a master's in computer science to explore research and industry roles before committing to AI. Another moved to the US for a graduate program to position himself closer to Big Tech opportunities. A third maintained relationships with peers, professors, and mentors formed during college that continued to shape his career and open opportunities in startups and established firms. Graduate programs and professional connections repeatedly enabled access to research, internships, and job offers.
Read at Business Insider
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