Intuit Machine Learning Engineer Interview Experience — Measuring Meeting-Free Work Time

The report presents an Intuit AI Science technical-screen exercise reconstructed from images. The task uses a year of company meeting records to assess how much uninterrupted coding time employees have during business hours. Each attendance record identifies an employee and a meeting, together with joining and leaving times.

Candidates are asked to determine the longest available interval for each employee on each day. The supplied CSV must be processed within a Jupyter notebook, and common Python libraries are permitted. The account focuses on the exercise rather than the surrounding interview process. It gives no candidate performance, interviewer feedback, or hiring outcome.