![]() What are the most common AI roles in today’s job market? She is also a board member of Factored AI, a startup that helps companies find skilled machine learning and data science workers. Linda Lee is a partner at the venture studio AI Fund, where she specializes in talent acquisition. He previously built computer vision systems for Apple, Amazon, and other tech companies. Puneet Kohli co-founded (with Nikita) CareerFlow.ai, which offers a free LinkedIn Optimization tool for job seekers. Jeff Bank is a veteran talent attractor who has helped build engineering teams at Google, Microsoft, LinkedIn, Roblox, and more. Previously she worked at Amazon and a number of startups. Nikita Gupta is a senior technical recruiter at Uber. In December 2022, DeepLearning.AI gathered a group of experienced technical recruiters and asked them some of the biggest questions about landing a job in machine learning or data science. Understanding why recruiters or hiring managers don’t respond?.Finding job listings that match your skills and interests?.Job seekers, especially those early in their careers, are often confused about the best way to get hired. But the field is also competitive and fast-paced. On top of that, many find the day-to-day work of building models, tuning algorithms, and analyzing data to be deeply satisfying. AI can seem like a dream profession: Machine learning engineers and data scientists are in-demand and well paid.
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