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Notes on the Industry Job Search

The author reflects on their industry job search experience, including preparing for interviews, navigating technical assessments, and evaluating offers. They share practical advice on timing, networking, and handling rejections, emphasizing persistence and self-care throughout the process.

Background

- A personal blog post (not news) by an NLP/ML researcher ("Alisa") recounting her experience applying for industry research scientist roles. The piece is written for other academics navigating the same transition. - Key unstated context: the 2024–2025 tech job market is unusually tight — post-pandemic layoffs, AI hiring freezes at some big labs, and a flood of PhDs competing for fewer research roles. - The author assumes familiarity with insider terms: "onsite," "team match," "publication count," and the distinction between "research scientist" vs. "applied scientist" roles. - The post documents common frustrations: opaque hiring criteria, the role of luck and networking over pure merit, the disconnect between academic and industry timelines, and the emotional toll of mass rejections. - It matters because it captures a widespread but rarely aired experience: top academic talent struggling in a system that feels arbitrary, even for candidates with strong publication records.

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Notes on the Industry Job Search

Background

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