Skip to content

Instantly share code, notes, and snippets.

@brianspiering
Last active November 10, 2021 02:33
Show Gist options
  • Save brianspiering/f5e187a56d96783100ad9e82c7f96f29 to your computer and use it in GitHub Desktop.
Save brianspiering/f5e187a56d96783100ad9e82c7f96f29 to your computer and use it in GitHub Desktop.

Problem statement for the interviewee:

You are a lead machine learning engineer (MLE) at a food delivery service, something like Uber Eats or DoorDash.

The #1 problem is that the delivery drivers are not able to deliver the food at the scheduled time. The customers complain and customer service agents give the complaining customers the food for free and credit for the next delivery. Currently, the company is losing at least $10 million dollars per year from this specific issue.

Frame the estimated time-of-delivery (ETD) as a machine learning problem that your team can solve.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment