For self driving car companies like Cruise, is it worth joining non robotics roles like data or ML infra? How is the work different from comparable roles at other internet companies? I don’t have relevant experience in robotics or computer vision and I would like to eventually get into that space.
The work and challenges are far more rewarding than anything you’ll find at any internet company. You don’t necessarily need to be interested in robotics or computer vision to join the teams you mentioned - but it’s definitely the best way to get your foot in the door if that’s what you want to pursue
How's work at Cruise? I have on-site coming. How's rsu valued?
I thought they got bought by GM. Then I heard the RSUs aren’t liquid. This seems shady as fuck. How do you exit a second time especially under the stewardship of a big company. Sounds like a write off waiting to happen and simply a mechanism to get talent with inflated paper stock.
The challenges on ML infra side are amazing. Definitely more satisfying when you see the results after so much grind. Other roles that have massive impact are building great tools that would help robotics/ML folks visualize their algorithms, or contribute to software for the simulations
Wouldn't you feel dumb --at least a bit-- for not being able to do the smartest stuff like vision, if you work on infra etc
There are a lot of design challenges in infra. You should listen to Andrej's talk on Software 2.0 . I don't want to give out specific examples at the fear of talking something i should not, but that talk gives a good idea on how important ML infra is. (I don't work in infra, so my comment isn't biased). You also have non-ML side of infra which is piping a lot of data to engineers in a way that can be useful to them. Same with tooling. I know a lot of people who love having other engineers as their customers and feel satisfied when their work drastically improves the work flow. It may not be math which people claim to be cool. But the design challenges are insane. I find a lot of them harder than the algorithms i deal with daily.
Eventually is now. Not very many people have experience in this area so you'll be as equipped as anyone. Be a pioneer!
Curise onsite in April in Seattle? Same here. Also non robotic role.
How to get interview with Cruise or Waymo? Anyone can refer me?
What about Zoox?
OP, thanks for not categorizing Computer Vision under the Deep Learning bucket. As for transitioning to ML and eventually CV/Robotics - once a software engineer, never an algorithm engineer. And vice versa, unless you undergo a Copernican inversion in world outlook.
Is it that hard to move?
"a Copernican inversion in world outlook"? You have delusions of grandeur, sir.
Anyone working in autonomous trucks? This area interests me a lot.
I missed some intense action here!
Wait! Ca someone help me understand how ML/vision people would be less important then robotics people? I mean robotics people's work is useless without ML and vice versa so how come one could be better than the other. Other than not being able to finding people experienced in the area. I mostly look at it in one's value in the work place. Not necessarily in terms of the money.
It’s just a lot harder to find hardware people. ML became the new hotness a few years back and everyone started getting ML masters and PhD’s and now the market is saturated. Hardware folks are still few and far between.
Himm i see. But the value of the work is almost the same.
Yes. Self driving is gold mine right now, even if just paper money
So you get paid in CASH?!
At Uber it's a gold mine, because the company's survival depends on it.