You also tend not to get a full view of things at Google. If you're in backend engineering, that's what you work on. I know that I like seeing the full product and knowing that I've worked on what the users are going to see.
You also tend not to get a full view of things at Google. If you're in backend engineering, that's what you work on. I know that I like seeing the full product and knowing that I've worked on what the users are going to see.
I'm not sure why you think that the 0.1% improvments are assumed to be a tedious slog. They may have required some seriously interesting new ML techniques just to get that extra boost. Recall the Netflix recommendation algorithm improvement contest that had teams working very hard to get those last fractions of a percent.
Small adjustments to a huge system can have huge impact: http://norvig.com/speech.html
Absolutely. This fact is literally in the comapany's dna. A lot of issues that were mentioned in that article are a direct result of this.
I'd be curious to know how this affects all of the startups they acquire that remain dormant for so long.