Hardware and ai are still distinct enough subfields that this still adheres to the spirit and intent of the program. My suggestion is to motivate in your application what about this program makes this a sensible next step in your personal goals.

Often, the skills required to succeed at ML research transfer between different modalities (computer vision, NLP). So, if you have several ML publications one of our research scientist roles is probably a better fit to apply to.

re: no publications. Our goal is to respect the spirit and intent of the program, we want to support people at the beginning of their research career in machine learning.

So yes, if you published in biology 5 years ago but have no machine learning publications -- you are probably still a good fit for the program. If you have a workshop paper, but don't have any publications, go ahead and apply.

If you have several maintrack papers or multiple workshop papers, I think it is a little less clear you belong to this program. In cases like these where you already have a publication record, we have full time research scientist roles that may be a better fit.

We will support work contracts outside the countries we have offices in -- like we do for our current staff in many countries around the world. For those in countries we have offices in, scholars can of course work out of the offices or participate remotely. No visa support, due to the length of the program. However, we do support visas for many of our other positions -- worth taking a look at the website.