For today's landmark episode (#999!), I asked rockstar Chip Huyen to be my guest and she said "yes"! We discuss her book "A.I. Engineering" (the most popular O'Reilly book in 2025) and how the A.I. job landscape is shifting.
In case you haven't heard of her, more on Chip:
• Her most recent book is "AI Engineering", which was the most popular book in the O'Reilly platform last year.
• Previously wrote “Designing Machine Learning Systems”, which was also an O'Reilly mega-bestseller and was based on the Stanford University course she created and taught on the same topic.
• Is currently building a new stealth startup.
• Previously worked as VP of AI at Voltron Data, co-founder of Claypot AI, ML Engineer at Snorkel AI and Sr Deep Learning Engineer at NVIDIA.
• Holds a Master's in Computer Science from Stanford.
• Her invaluable posts have earned her over 300k followers on LinkedIn.
In this episode, Chip breaks down:
• What separates AI engineering from machine learning engineering.
• The case for a "start simple" workflow.
• The real costs of running LLMs in production.
• Physical AI.
• Robotics.
• World models.
• Why the durable problems worth solving are increasingly human ones.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
