This just reeks of mostly inexperience with a touch of arrogance. > We looked at other companies’ equivalent roles but they weren’t exactly contextualized to L

This just reeks of mostly inexperience with a touch of arrogance. > We looked at other companies’ equivalent roles but they weren’t exactly contextualized to Lyft’s business setting. Ok, so what does Lyft need then? > What are Lyft’s challenges (and can a specific role help)? > What should the role be with respect to the organization’s goals? > What are the desired skills, knowledge, and talents given the expectations for the role? Umm. Isn't that what every company hiring looks to address? > What’s left is to define the necessary ingredients for what a successful hire looks like vis-a-vis (3) in Lyft’s context: > > Skills acquired through practice, > Knowledge learned through study and personal experience, and > Talents that make each candidate unique. Ok, I'll stop reading now since "Lyft's context" is no different from any other company let alone one looking to hire a Machine Learning Engineer/Scientist.