seth_

Riffusion - Generative AI for Music | Research Scientist, Research Engineer | San Francisco | Full-time Riffusion is a small team training foundation models for music generation and building products that create more musicians in the world. We strive to create and deploy models that are expressive, fast, controllable, and inspiring at scale.

We’re establishing our founding research team and looking for individuals who love music and are excited to build a more creative future with us. Experience with large scale generative model training and diffusion architectures is preferred. Very strong software engineering and computer science fundamentals required. We’re backed by top investors and have substantial compute at the ready.

You can make music with us https://riffusion.com and reach me at { seth at riffusion dot com }.

Riffusion - Generative AI for Music | Research Scientist, Research Engineer | San Francisco | Full-time

Riffusion is a small team training foundation models for music generation and building products that create more musicians in the world. We strive to create and deploy models that are expressive, fast, controllable, and inspiring at scale.

We’re establishing our founding research team and looking for individuals who love music and are excited to build a more creative future with us. Experience with large scale generative model training and diffusion architectures is preferred. Very strong software engineering and computer science fundamentals required. We’re backed by top investors and have substantial compute at the ready.

You can make music with us https://riffusion.com and reach me at { seth at riffusion dot com }.

love the deep dive here

Those are awesome! Sorry if the app is down for you or anyone else right now btw. Our servers are a little overloaded but we'll be back up in no time

We would have an iOS app if we were better mobile engineers... hopefully someday we'll make one!

Very cool. The latent space is a wild place.

Nice! It is best at pronouncing in English, but we've had a bunch of fun trying to get other languages too. Sometimes you can make things happen phonetically.

Even for english words that it doesn't get right the first time haha

We're happy to be building a toy!

Your comment reminds me of this post: https://cdixon.org/2010/01/03/the-next-big-thing-will-start-...

It's still really early innings for this technology, so we're happy to be learning and building fun technology helps people to do creative things. Main thing we're focused on is turning it from a toy you enjoy once, to something you come back to and dive deeper into (even if it's still just for fun).

This one! Was a wild day for us :)

https://news.ycombinator.com/item?id=33999162

Would be neat to see the distribution of time that people stare at this... I imagine some will stare for hours

Author here: fwiw we are running the app on a10g GPUs, which generally can turn around a 512x512 in 3.5s with 50 inference steps. This time includes converting the image into audio which should be done on the GPU as well for real-time purposes. We did some optimization such as a traced unet, fp16 and removing autocast. There are lots of ways it could be sped up further I'm sure!

Author here: We were blown away too. This project started with a question in our minds about whether it was even possible for the stable diffusion model architecture to output something with the level of fidelity needed for the resulting audio to sound reasonable.

Author here: It can certainly be applied to voice, but the model would need deeper training to speak intelligibly. If you want to hear more singing, you can try a prompt like "female voice", and increase the denoising parameter in the settings of the app.

That said, our GPUs are still getting slammed today so you might face a delay in getting responses. Working on it!

Author here: Indeed we are using Griffin-Lim. Would be exciting to swap it out with something faster and better though. In the real-time app we are running the conversion from spectrogram to audio on the GPU as well because it is a nontrivial part of the time it takes to generate a new audio clip. Any speed up there is helpful.

Authors here: Fun to wake up to this surprise! We are rushing to add GPUs so you can all experience the app in real-time. Will update asap

Looks like a much tastier version of what the times did here https://www.nytimes.com/2022/11/04/dining/ai-thanksgiving-me..., they should write a followup

Slick app. Thanks for posting

Hardline | iOS + Android Engineers | Remote friendly | San Francisco based company | Full-time | https://hardline.io

We’re building a new way for deskless workers to communicate on the move—think Slack for construction. At the core of our product is an app that pairs with our hardware device to turn workers’ phones into powerful and loud walkie talkies.

We're early-stage, well funded, distributed, and growing fast. We're hiring experienced mobile engineers to join our core team, and become meaningful owners on this journey.

Our stack: WebRTC, BLE, SwiftUI, Combine, Kotlin

Learn more at https://www.hardline.io/careers or message me directly: seth <at> hardline.io

Hardline | Full time | SF, Remote US Based | Lead Backend Engineer | https://www.hardline.io

Help us build the fastest way for teams to communicate on the move.

Our mobile app and simple hardware attachment turn any smartphone into a powerful walkie-talkie. Think Nextel 2.0. No more clunky radios or missed calls—just push a button and get things done.

We’re currently a team of 5, searching for our next partner on this journey. At Hardline, you’ll have the autonomy to design and scale a backend capable of connecting millions of deskless workers worldwide. We’ve started with Go and WebRTC, but we’re early enough on this journey to be language agnostic, so you’ll be the one to architect and build the system. You pick the languages. You pick the frameworks and libraries.

Our team is mostly located in the Bay Area, but we are excited to work remotely with candidates across North America. Hardline is backed by top VCs behind companies like Intercom, Pilot, Sonos and Slack.

Feel free to reach out to me directly seth@hardline.io

Starling | Front End Engineer & Full Stack Engineer & Security Engineer | SF | Full-Time | Onsite

Starling exists to make organizations better. We're an analytics platform for People data, helping companies create data-backed strategies to build great organizations. From diversity and inclusion, to attrition risk and prevention, we cover a wide range of challenging problems.

We’re looking to hire Front End, Full Stack and Security engineers. You would be joining a small, fun team of gifted and driven peers.

Our platform is live and revenue generating, backed by some great investors. We're working with some of the top tech and non-tech companies in the US.

We make extensive use of python/flask, React, Node.js, D3.js - experience with analytics products is a huge plus. As we're still small and growing rapidly, we can't accommodate recent bootcamp grads.

Help us shape the future of work. Reach out to us at jobs@withstarling.com to apply. Competitive salary/equity + all the perks