[AndrewKemendo]

I'm most curious about this part:

n conjugation with other product areas across Google, YouTube has undergone a fundamental paradigm shift to- wards using deep learning as a general-purpose solution for nearly all learning problems.

Can you talk about how this works in practice? Is the deep learning group separate from other teams and then tackles problems from different areas as needed, or are there deep learning engineers in each project area that are building nets for each different area? Is the ML team also redesigning product architecture by building products around reinforcement learning?

[pcovington]

There are many close collaborations between product and research, as well as direct exchanges between different product areas. Close collaboration is key because those working directly on the product understand best the data, serving system and fundamental constraints.

A recent article [1] revealed how engineers are trained in ML across Google.

[1] https://backchannel.com/how-google-is-remaking-itself-as-a-m...

[2bitencryption]

What I've heard from Google employees is that if you work there, you are getting training on Deep Learning for sure. It doesn't matter what team you're on, Google is now essentially a deep learning company (which sells ads).