# Lyft's ML Infrastructure Journey - ML 139

Page: https://stenobird.com/podcast/adventures-in-machine-learning/lyft-s-ml-infrastructure-journey-ml-139
Text version: https://stenobird.com/podcast/adventures-in-machine-learning/lyft-s-ml-infrastructure-journey-ml-139.md
Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning)
Published: 2024-01-18T11:00:00+00:00
Episode link: https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/lyft-s-ml-infrastructure-journey-ml-139
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842099/stream.mp3
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/lyft-s-ml-infrastructure-journey-ml-139
Duration seconds: 3912

## Resource

Konstantin Gizdarski and Jonas Timmermann are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft. Join them as they explore the challenges and successes of implementing reinforcement learning, contextual bandits, and advanced AI technologies in a real-world business environment. Learn about the collaborative engineering culture at Lyft, the development of new ML capabilities, and the unique approaches to infrastructure and model deployment. Listen in as industry experts share their insights on accelerating decision-making processes, simplifying tools for end users, and finding innovative solutions to common engineering challenges. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Konstantin Gizdarski LinkedIn: Jonas Timmermann Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .

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## Transcript

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