Posts

Showing posts from February, 2019

Get a job at Google

Original post -  https://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html Get that job at Google I've been meaning to write up some tips on interviewing at Google for a good long time now. I keep putting it off, though, because it's going to make you mad. Probably. For some statistical definition of "you", it's very likely to upset you. Why? Because... well, here, I wrote a little ditty about it: Hey man, I don't know that stuff Stevey's talking aboooooout If my boss thinks it's important I'm gonna get fiiiiiiiiiired Oooh yeah baaaby baaaay-beeeeee.... I didn't realize this was such a typical reaction back when I first started writing about interviewing, way back at other companies. Boy-o-howdy did I find out in a hurry. See, it goes like this: Me: blah blah blah, I like asking question X in interviews, blah blah blah... You: Question X? Oh man, I haven't heard about X since college! I've never needed it for my jo

Writing Google AI residency letter

Writing a Google AI Residency Cover Letter Guest post by Katherine Lee* and Ben Eysenbach* *Equal contribution 2019 is an exciting year to start a career in machine learning (ML) and artificial intelligence (AI)[ 1 ]. Whether coming straight out of school or switching from a job in another field, recent advances in ML have created opportunities to apply ML to real-world problems, design and analyze algorithms for ML, and study the interpretability and fairness of our algorithms. While the traditional path to ML research is through a PhD in ML, Google AI and many other ML research labs have introduced “AI Residency” programs as an alternative path. Similar to ML PhD students, Residents learn how to pursue a research project, what questions to ask, and how to use TensorFlow and other ML tools. While there are many good resources on how to apply to PhD programs, few references discuss applying to AI Residency programs. In applying to these programs, you'll need to c