Josh Baer retweeted
Build a robust Ray platform ✅. Make its developer experience frictionless ✅. Done, but how did we do it? #MachineLearning engineers, @daikeshi and @davidxia_, will be giving you the inside scoop at #RaySummit on 9/19. Register to watch it live here: raysummit.anyscale.com/agend…
ALT Spotify machine learning engineer will be speaking at Ray Summit 2023. The image includes a headshot of the engineer and information about the event.
ALT Spotify machine learning engineer will be speaking at Ray Summit 2023. The image includes a headshot of the engineer and information about the event.
"Our goal for Spotify’s ML Platform has always been to create a seamless user experience for ML practitioners who want to take an ML application from development to production..."
And so, we introduced @raydistributed to our @Spotify ecosystem. engineering.atspotify.com/20…
Josh Baer retweeted
What is Backstage and why are companies like Netflix, Grab, Wealthsimple, QuintoAndar, Wayfair and hundreds of other tech organizations adopting it?
In this week's subscriber-only article, we went deep into Backstage, and alternatives to it: newsletter.pragmaticengineer…
ALT Spotify initially built Backstage for their own use cases. The company saw good success by adopting System Z and extending it to what would become Backstage. They observed the following results by 2020: A 55% decrease in onboarding time for their engineers. Onboarding time was measured by time until the 10th pull request. 280 engineering teams inside Spotify used Backstage. 2,000+ backend services, 300+ websites, 4,000+ data pipelines, and 200+ mobile features onboarded to Backstage. The company realized that it was building something that similar companies could use, and company leaders decided to open source it in 2020. By the end of 2020, Backstage was accepted to the Cloud Native Computing Foundation
Josh Baer retweeted
Pretty proud of the @Spotify team for this one – a generative, expressive and realistic AI DJ that delivers a personalized lineup of music and commentary to each user, for all those times you don’t know exactly what you want to hear. Hope you like it! 🎧 newsroom.spotify.com/2023-02…
Josh Baer retweeted
"Our goal for Spotify’s ML Platform has always been to create a seamless user experience for ML practitioners who want to take an ML application from development to production..."
And so, we introduced @raydistributed to our @Spotify ecosystem. engineering.atspotify.com/20…
Huge shoutout to @DivitaVohra @daikeshi and the rest of the team for driving this work to success for the last year. Their enthusiasm and effort drove major improvements on our underserved Research users, and some huge ML wins!
🚀 🎶
I’m so proud of the work we’re doing at Spotify, and even more proud of the team I get to grow with through it all.
Check out how we’re unleashing ML innovation at Spotify! @daikeshi @davidxia_ @pchandarr
BIG shoutout to the @anyscalecompute team for being awesome partners.
Josh Baer retweeted
I’m at #NeurIPS22 to present at the Offline RL Workshop / the RL4RealLife Workshop and to check out LLM work which Spotify is rapidly investing in, see you in New Orleans!
Josh Baer retweeted
I will be attending @NeurIPSConf #NeurIPS2022 my 1st time at this conference. Happy to meet, and talk about research & machine learning @Spotify @SpotifyEng @SpotifyResearch. We are also expanding our expertise in large language models, see the role below.
lifeatspotify.com/jobs/direc…
Josh Baer retweeted
Good post. A lot of interest atm in wiring up LLMs to a wider compute infrastructure via text I/O (e.g. calculator, python interpreter, google search, scratchpads, databases, ...). The LLM becomes the "cognitive engine" orchestrating resources, its thought stack trace in raw text
New post just dropped: The future of AI is action-driven jmcdonnell.substack.com/p/th…
Bad idea riding a @CitiBikeNYC to work during cold weather.
And all those “open spots” are broken docks
Last month, @DivitaVohra and @polarfoxgirl gave a pair of great talks at our Spotify office for the MLOps meetup. Check out the videos in this thread
Catch up on the freshest MLOps advice from Spotify's very own @DivitaVohra, Senior Product Manager and Olga Nikonova, Senior ML Infrastructure Engineer hosted by @Spotify!
You don’t want to miss out on this!
This kinda sounds like how prioritization is done today but with a lot of extra steps, tbh.
A lighter weight version that seems promising: coda.io/@shishir/rituals-for…
My talk from @strangeloop_stl is out. It’s been on my conference bucket list for some time. If it’s on yours - next year is the last one!
"Powering Spotify's Audio Personalization Platform" by Josh Baer @j6aer from Strange Loop 2022 youtube.com/watch?v=lqAm4NnX…
Hear about new Spotify ML Platform initiatives and the birth of our "Hendrix" platform at tomorrow's TWIMLCon talk by Maisha and @NotJinterested: twimlai.com/conf/twimlcon/20…
Signing up is free and easy for ML practitioners!
First @mlopscommunity NYC meetup hosted at our @SpotifyEng World Trade Center offices!
@DivitaVohra talking about our investigations of Ray to support some cool ML research and applications
And @polarfoxgirl came on next to talk about our sodel serving infrastructure and 'on-device' use cases we're tackling with newly piloted infra.
Loved the discussion on when and why on-device vs. on-server could be useful, and the Qs from the audience
On my way to STL for @strangeloop_stl! First in person conference talk since Poland in Feb2020.
If you’re around, check out my talk tomorrow: thestrangeloop.com/2022/powe…