Info on Google teams

Enova bongbong
Jun 10, 2018 17 Comments

Going through team match at Google. Would love to hear about culture, growth, politics (or lack thereof) for the following teams.
I'll be a L5 SWE working on ML.

- Shopping search quality
- Brand Safety@YouTube
- Google Assistant

For the TC or GTFO crowd - don't know TC yet

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TOP 17 Comments
  • Amazon TCORGTFO
    Hey so.. nah never mind.
    Jun 10, 2018 0
  • Google softmax
    Another dimension is ML domain. Video I assume is YT, speech might be Assistant (or could be something else) and text processing might be shopping search quality. If you have interest in RNN v. CNN v. GAN, might be good to ask about architectures and how applicable to other domains.
    Jun 10, 2018 1
    • Enova bongbong
      OP
      Great point. I was excited about video for that - seems like there would be more low hanging fruit there because people haven't been working on ML for video for too long. Compared to CTR prediction for shopping.

      Btw, I like your handle 😀
      Jun 10, 2018
  • Google KjDt62
    Go for the manager that fits you best.
    Jun 10, 2018 3
    • Enova bongbong
      OP
      I find that hard to judge in a short phone call. Any tips on what to look out for?
      Jun 10, 2018
    • Google KjDt62
      Ask something you really care about. Promotions, WLB, etc.
      Jun 10, 2018
    • Enova bongbong
      OP
      Thanks!
      Jun 10, 2018
  • This comment was deleted by original commenter.

    • Enova bongbong
      OP
      Simple linear regression is too naive to be competitive any more. Lots of work on non-standard regularization and other ways to reduce VC dimension of the model for better generalization with large number of features. Also shallow neural nets, SVMs, RF, GBTS are pretty common.
      Jun 10, 2018
    • Enova bongbong
      OP
      My motivation is to do something more tangible than just making money. Like working on a product that millions of people use (naive?). And getting better at deep learning, which I think will change the world in the next decade.

      Most people making the opposite move are optimizing for TC. Comp isn't a large factor in my utility function anymore.
      Jun 10, 2018
    • Enova bongbong
      OP
      Don't mind the pure engineering grunge work. But am apprehensive about the bureaucracy, slowness and politics that come with big orgs at Google. That's why I'm still conflicted about FB though Google is way better at deep learning ☹
      Jun 10, 2018
  • Facebook / Eng TCYOE
    YOE (total and ML specifically)?
    Jun 10, 2018 3
    • Enova bongbong
      OP
      10 years, all in ML but in quant finance. Some of the experience will get lost in translation to ads/video.
      Would also love your thoughts on ML teams at FB, or G vs FB for ML. Have an offer from FB too.
      Jun 10, 2018
    • Facebook / Eng TCYOE
      Lots of ML teams in Fb, mostly in ranking. Yeah definitely not at google’s level, but we move fast.
      Jun 10, 2018
    • Enova bongbong
      OP
      Thanks.
      Do you know how the News Feed Integrity team is like, especially for ML?
      Jun 10, 2018
  • This comment was deleted by original commenter.

    • Enova bongbong
      OP
      Thanks, that's very useful to know.
      I would've thought (outsider's perspective) that there's a lot of growth ahead in assistant. Like the fancy stuff previewed in Google I/O
      Jun 10, 2018
    • Enova bongbong
      OP
      Makes sense, thanks
      Jun 10, 2018
  • Tesla LEETCODER
    Op what did you choose and why?
    Aug 3, 2018 0