Does anyone have any real insights to share about the org? What are the engineering problems like? Are the skills transferrable to other domains? I may be joining as an applied ML engineer (pending HC). Thanks
Problems are very interesting, pretty diverse. Anomaly/fraud detection, text understanding, video understanding. mainly classifications/clustering problems
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Most Google technologies are nontransferable knowledge 🥴
Interesting... I am aware there is a lot of proprietary tools. But this sounds a bit extreme
Not sure about applied scientists, but for swe, other than Linux tools, nothing is transferable lol. The stack is very modern so you can focus on your work area very well imo, if that's what you would like. If you want more hands on experience in building up infra and stuff, you should chat with HM more in detail.