Most software development at high paying places like the FAANGs still does not require ML or data science. It's understanding the problem, figuring out what to treat as your constraints, figuring out the best changes to make to the current system to satisfy those constraints, getting other engineers on board with your proposal and handling feedback, making your changes, writing automated tests for your changes, writing appropriate monitoring, etc. These are the kind of skills that me and most of my coworkers have learned on the job, and we're happy to hire junior engineers who can code but don't know the rest yet. Which seems very different from medicine to me?