AI Career Pathways
Companies everywhere are building AI teams, but it’s still unclear what aspiring machine learning engineers, data scientists, and software engineers should focus on when applying for AI jobs. This talk results from more than 100 interviews with data science and machine learning leaders. It illustrates the importance of self-assessment in making good career choices and walks you through different types of AI organization, different roles within them, the tasks you can work on, and the skills recruiters are looking for in each role.
Kian Katanforoosh is a technology entrepreneur and lecturer at Stanford University, where he teaches Deep Learning in the Computer Science department with Prof. Andrew Ng. He is the founder of Workera, a company that measures the skills of data scientists, machine learning engineers, and software engineers, and serves them AI career opportunities, and is a founding member of deeplearning.ai. He co-created the Deep Learning Specialization on Coursera with Andrew Ng. From 2014 to 2016, Kian co-founded and co-led Daskit, a French start-up developing in-classroom ed-tech solutions for universities.