In progressTechnical Screen

75-Minute Phone Screen with Train/Test Error Analysis and K-Means from Scratch

LyftMachine Learning Engineer · Technical Screen · Jul 2026

75 min. The first part was ML. They gave me 5 sets of training/test error and I had to analyze the possible causes. The cases included training high / test low, training low / test high, both low, and both high. I hadn't prepared for the training high / test low case and got stuck for a bit. The interviewer hinted that the train and test data might have different distributions, or that the traini…

Shared by a candidate · reported Jul 2026. Interview formats change; use it as a guide, not a script.