snyp

I’m a mid/senior software engineer (~7 YOE) trying to move into applied research in AI/robotics. No PhD

If you’ve hired for research engineer / applied scientist / robotics roles:

What differentiates a strong non-PhD candidate from "Smart SWE who likes ML"?

Which artifacts are most convincing (reproducing papers, open source contributions, working on real-world systems, conference workshop paper, etc.)?

What skill gaps usually show up in interviews?

And if you’ve made the jump, what worked for you?

As an engineer working in a large organization, handling multiple projects with many different cross functional teams, what are some ways that could help with managing all the different conversations, asks, followups etc.

I sometimes feel overwhelmed by the sheer number of items to keep track off, I was wondering if there was a system that has worked for others in this situation.

What are the best books or resources for someone who wants to get started writing code for and learning about ARM architecture microprocessors?