How to be an AI safety research engineer
ai
LessWrong publishes guidance from AI safety researcher Ruben Castaing on breaking into the field. The work demands technical depth—Python, PyTorch, and linear algebra—combined with research taste built through collaboration and study. Castaing advises newcomers to clarify which safety problems matter to them, then build networks through conferences and hub communities; while remote work is common, proximity to centers like San Francisco or London accelerates learning meaningfully. Jobs in AI safety emerge through direct connections, not job boards; expect roughly a year of upskilling and networking, and prioritize fellowships over degrees for focused preparation.
Source: https://www.lesswrong.com/posts/Wty5mcDBEmypap8o2/how-to-...
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