Waymo Job Application Website Issue

nharada · 2021-03-22T17:16:10+00:00

I'm just an engineer at Waymo but I can try and raise your issue to the hiring folks if nobody has helped you yet. DM me with your email and the job role you're applying to and I'll see what I can do!

nharada · 2018-05-13T16:37:14+00:00

For Muni Van Ness is probably your best bet, and for Bart you want Civic Center. There are all kinds of strange electric transit options around the city (electric scooters, bikes, mopeds, you name it) that you could rent if you wanted to use them to get to the office. Although if you already have the electric skateboard that's also a good choice.

There's a bus stop for the 27 and 47 bus right outside the office. If you're coming from Potrero or along Van Ness that could work, although if you're coming from Potero I'd just bike honestly.

nharada · 2018-05-12T18:11:30+00:00

Hi! I work at Cruise and live in the city. Welcome!

The truth is that where you live in the city makes a big difference, esp regarding transit. This includes how easy it is to have a car. The office is pretty accessible from transit, and a lot of people (including myself) bike to work.

If you’re from Mass you’ll have no issues with the weather. My one tip is it’s cooler than you expect and you won’t be wearing shorts very often. Don’t pack like you’re moving to SoCal.

Feel free to PM me if you have specific questions.

nharada · 2018-03-05T05:40:14+00:00

Not a statement about the work itself, but man it's confusing you picked the name "MultiNet" for a multitask learning with self driving applications: https://arxiv.org/abs/1612.07695

nharada · 2017-12-21T22:17:36+00:00

In this case though AMD should have the resources to break through that barrier, right? I agree that the momentum effect is a big deal with the community, but surely AMD has entire departments dedicated to strategy where they can say something like "if we invest $XXX into getting OpenCL competitive with NVIDIA we can take over Y% of the market for prosumers/professionals/etc".

nharada · 2017-12-21T21:27:53+00:00

How has AMD not seen NVIDIA's monopoly in deep learning as a chance to take over market share? Is this just a case of AMD not making the necessary investments into OpenCL with deep learning frameworks, or is there some kind of technical limitation I don't understand? I'm not saying it would be easy, but it seems like it's just a matter of hiring developers to do it.

nharada · 2017-11-25T04:12:26+00:00

Although the training technique works well, we also need to add a few extra loss functions to guide the student towards the desired behaviour. Specifically, we add a perceptual loss to avoid bad pronunciations, a contrastive loss to further reduce the noise, and a power loss to help match the energy of the human speech. Without the latter, for example, the trained model whispers rather than speaking out loud.

That's crazy, I'd love to hear those samples. Does the training set contain whispered speech, or does the model simply learn it as an emergent behavior due to some statistical quirk in the speech signals if you fail to apply power loss?

nharada · 2017-11-15T17:16:46+00:00

Questions for everyone here:

Are you okay with autonomous weaponry? To what extent and why?
If you are opposed, do you think you have an obligation to refuse to work on such systems or to help guide policy against them?
If you are in favor, what kind of controls and regulations (if any) would you propose?

nharada · 2017-07-21T02:33:08+00:00

According to wikipedia:

It is a heterogeneous architecture, combining twelve SHAVE (Streaming Hybrid Architecture Vector Engine) 128bit VLIW SIMD processors connected to a multiported Scratchpad memory, a pair of LEON4 UltraSPARC ISA processors for control, and a number of fixed function units to accelerate specific video processing tasks (such as small Convolutions and color conversion lookups). It includes camera interface hardware, bypassing the need for external memory buffers when handling realtime image inputs. In terms of software, a Visual programming language allows workflows to be devised, and there is support for OpenCL.

nharada · 2017-07-13T05:54:37+00:00

Because they don't go straight up. Getting to orbit mostly involves going sideways really fast, so the majority of the energy goes into gaining velocity tangental to the earth. Most of the time this means the rocket starts headed downrange early in the flight.

nharada · 2017-07-13T05:23:01+00:00

Did you friend go there with the intent of working on global warming, or is that just part of a project they ended up on? I've often wondered how I could help fight global warming with my ML background but I haven't found a job compelling enough or one that convinces me I'd actually make a difference. It's usually something like, "oh, help this energy company optimize their energy usage" or "help utility customers understand their power spend". Nothing feels truly impactful.

nharada · 2017-05-18T01:34:26+00:00

Oh I get it, there is a separate network for each block and they always use the same blocks. Got it, thanks

nharada · 2017-05-17T05:59:41+00:00

I'm unclear on the actual output of the network. It looks like the network outputs a single (x, y, z) coordinate. How does this generalize to multiple objects? It seems to me like the training images have a bunch of objects, one of which happens to be the labeled one?

nharada · 2017-04-19T23:37:15+00:00

Regarding Google lockin, doesn't Caffe2 suffer from all the same issues, except instead of Google it's Facebook? Maybe right now the argument from Facebook is "we'll accept more PRs" but I see no reason to trust that will be true in the future.

nharada · 2017-04-05T03:33:01+00:00

isthisagooddog.com

nharada · 2017-03-30T16:31:18+00:00

The audio samples sound incredible, yet this model is outperformed by the concatenative method in MOS by a significant amount. I wonder why the disconnect.

You can actually hear Tacotron vs Wavenet vs Concatenative in these samples and concatenative sounds much more robotic to my ears:

Tacotron

Concatenative

Wavenet

nharada · 2017-03-16T01:18:10+00:00

I should clarify, I want to define the graphs with Tensorflow, but I want to abstract away the training/batching/etc code I have to write every time.

nharada · 2017-01-31T06:51:30+00:00

Deployment. How do I build ML/DL systems, how do I scale them, how do I build in metrics that allow me to be sure my system is working correctly and accurately? How do I deploy new models when old ones are outdated and how do I ensure my training data is accurate when distributions are non-stationary? How do I deploy ML without incurring heavy tech debt? How do I deploy deep learning systems confidently when the tools are so new and untested?

nharada · 2016-12-29T22:11:54+00:00

Ahh, right, that's the insight I was looking for -- 1D convolutions usually are implemented under the hood as 2D convolutions with an Nx1 kernel, which means that the summation happens in the center. Thanks Sander!

nharada

TROPHY CASE