Multiple reports describe a product designer who says she landed an AI-related job after approaching learning like a science project. In the account, the designer frames her progress as experimentation—trying tools, iterating on ideas, and treating mistakes as part of the learning process—rather than relying on a formal background in machine learning. She describes overcoming fear of learning AI by focusing on hands-on practice and incremental tests, which she says builds confidence and skill over time. The articles present her experience as a personal career narrative, emphasizing that she did not come from a traditional machine learning education track and still pursued an AI role through self-directed learning and applied experimentation. One outlet highlights that she ultimately secured a position at Adobe, while another repeats the same theme about using a “science lab” mindset to learn AI. Across both sources, the focus remains on the individual’s approach to learning and career transition, without providing broader industry data or technical claims beyond the reported experience.