The Differences Between Research in the Academic and Industry

This is an interview with Or Gorodissky, VP of R&D at an amazing generative AI startup called D-ID.

This was my first-ever interview! I hope you will still enjoy this mini-series put together and take some good bits of advice out of it...

The first part of this interview focuses on Or's academic background, his Master's degree, and recommendations for doing one and a Ph.D. We then discuss the differences and resemblances between industry vs. academia.

In the second part, we dive into the startup world and, more precisely, the application process and how to optimize your profile to find a job in generative AI as a researcher, ml engineer, or data scientist. Or also explains how he identifies good candidates and gives great tips to improve your resume and stand out. We also dive into who can work as an AI research scientist in generative AI startups and the importance of background differences.

Finally, the third and last part is about working in the startup world. How it is, what is day-to-day life like, applying research papers in the real world, developing state-of-the-art applications, and more!