It is more software engineering working on the core package and creating educational content (videos, presentations etc.) about getting from no data to a decent baseline model. Combining both, really helps to understand what people struggle with.

I agree with this. I used to do Machine Learning but shifted to working at an open-source company (Argilla), to be more involved with data quality instead of overfitting and building models without enough data.