Some of the highest salaries I know are in core ML at big tech or some of the foundational labs like Allen AI. While whiteboard coding interviews are often part

Some of the highest salaries I know are in core ML at big tech or some of the foundational labs like Allen AI. While whiteboard coding interviews are often part of the process, it is generally pretty basic LC. The crux of the evaluation often revolves around have you built something amazing before? For most new grad folks it is the work done as part of their PhD thesis, but for non PhDs it often boils to amazing past work. And it’s a similar process for more experience folks except the reliance on LC fades even more. If this works well for cutting edge ML why shouldn't it work for everything else?