Should I choose Google ML over generalist interviews?Nov 30
I work on applied ML at a well know public company but don’t have a grad degree. Recruiter severely discouraged me from taking ML interviews because the bar is extremely high and she has seen many PhDs with 10+ yoe rejected. She said I could still match for ML teams if I go through generalist interviews, and a few people she helped with in the past month had succeeded in this route.
I saw someone say it’s difficult to match for ML teams going through the generalist process, so is what my recruiter said true? Which process do you recommend if you have been there or are familiar with it? I’m unlikely to join any non ML team
- Don’t undersell. Also depends are you willing to let go Google coz you want to only do ML. I would not join Google at the risk of not doing ML
- Google ML interviews are not very hard. Mostly design and few basic ML questions. Fb ML is also pretty standard with 2 coding rounds 1-2 ML design with standard classification or ranking problems.
Amazon, Apple and Microsoft do far more deep dives on ML core areas, but most likely bcoz the interviews are team specific and good ML teams will try to test on the areas they are interested in.
- Thanks for the tips. When you say ML design, do you mean implementing a classification algorithm (e.g. MLP neural net, linear SVM or something else) from scratch? Or just describing a general approach to taking such an algorithm to prod (e.g. First I featurized my data. Then I trained a random forest with scikit learn and deployed it.)
- That’s true mostly what is expected that you know the end to end flow of how to provide a modeling solution to a business problem. However you generally get extra brownie points for knowing the details like derivation of the gradients from the loss, subtle pros/cons of one algorithm vs another etc.Dec 31
- Undisclosed tjPE83I think usually what happens is the recruiter doesnt cover the ML team and thus if you eventually go there they wont get a bonus / smaller bonus (im just guessing). I applied to Goldman and asked for the QIS team, and the recruiter also told me the bar is extremely high lol...