549: Engineering Natural Language Models — with Lauren Zhu
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Exploring Diversity, Passion, and Technology in Engineering and Data Science
The chapter discusses the value of diversity in teams, the autonomy given to new grads in the industry, company culture, day-to-day tasks of a machine learning engineer, tools like Google Colab and Apache Beam, essential skills for engineers and data scientists, creativity in engineering, time management techniques, personal fulfillment, and professional success. The conversation also covers rapid technological advancements, future implications of machine learning in society, internship experiences, using the Myers-Briggs personality test for career reflections, and a book recommendation for expanding perspectives.
Play episode from 42:31
Transcript
