Deliveroo Machine Learning Engineer interview questions

1. Recruiter call (15 mins) Informal conversation around past experience, and reasons you want work for Roo 2. Interview with two Senior Machine Learning Engineers You need to be prepared to talk about your CV in depth and answer technical questions around past projects you have worked on. 3. Take Home Machine Learning Task Full machine learning task (understand work, EDA, preprocessing, modeling, evaluation, and future work) to complete in 48 hours. 4. Last interview stage 4a) Behavioral interview in the "tell me about a time where you...." fashion. 4b) Machine Learning theory, covering most of the classical ML concepts (gradient descent, backpropagation, linear regression, logistic regression, regularization etc). Remember to revisit the some basic maths behind these concepts. 4c) Machine Learning practical, you will be given a real world deliveroo problem Kai you will have to discuss about how you would approach it if you were working on it at Deliveroo.

The first step was a relatively straightforward case study that I had 24 hours to complete. I ended up using all 24 hours, though you're supposed to be able to do it faster. Following that, I was interviewed by several data scientists and machine learning engineers on the team. It was divided into theory, practice and business interviews. I was not able to progress further, but received open and honest feedback.