[jstx1]

You need something that demonstrates that you can code - not just PyTorch and ML-specific code but general software development - creating and deploying an API, using a database, being comfortable with cloud tools etc.

That + having a math PhD is enough to get interviews, the rest is interview prep which can be company dependent but it's usually basic ML knowledge + a coding test.

[varane]

Thanks for the comment. I've done these things in certain classes - cloud computing, networks, etc, but always disregarded them as not worth highlighting. It's after all just reading documentation carefully, implementing parts of a system and debugging. Although I'd love to do more of these, it seems hard without being part of a software team.