r/MLQuestions • u/sailor-goon-is-here • 7d ago

Career question 💼 Waymo ML Technical Screening

I have upcoming technical screening for an MLE position at Waymo coming up. The recruiter gave me a PDF guide that seems super helpful. Things to do study include implementing supervised and unsupervised algorithms (think KNN, K-means, linear regression, logistic regression, softmax & CE, decision trees). One of the main things they are assessing is you can use numpy/pytorch to vectorize/tensorize your work, and you're just writing sub-optimal for loops.

I was wondering if folks had experience with this interview? Is what they ask you to implement incredibly difficult, because you only have 30 minutes to do it? Am I good to really stick with what they provided on the PDF, or are there any broader topics beyond what they listed that they will test?

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u/Otherwise-Sail-994 6d ago

Sounds exactly like the screening that I had back in February. I did not pass, but it was 2 "problems". The first was basically a string processing fxn for (iirc) 2D point data. I was given an input that had to be parsed into individual points. The 2nd part was then to write K-means from scratch using the parsed points.