Blog of Outerbounds, the company behind the Metaflow Python framework, covering ML infrastructure, data loading, LLMs and documentation.
HN links it for ML infrastructure and LLM posts, including a sentiment analysis of HN posts; the company also posts hiring threads.
Outerbounds | Systems / Full-Stack engineer | SF / Remote | Full-time
Outerbounds commercializes Metaflow, a widely used open-source Python framework that makes infrastructure easily accessible for machine learning/data science projects. Metaflow was originally started by us at Netflix and it is now used by hundreds of companies across industries.
We care a lot about thoughtful design, overall product experience, and quality of code. We are looking for backend/full-stack/systems engineers who are experienced in at least one of the following areas: Delightful API design, deep Python experience, distributed systems, Kubernetes, or low-level systems programming.
- Outerbounds: https://outerbounds.com
- Metaflow: https://docs.metaflow.org
- More about us here: https://outerbounds.com/workwithus
- Join our Slack to see the project in action: http://slack.outerbounds.co
- Email: workwithus@outerbounds.co
Outerbounds | Systems dev | SF / Remote | Full-time
Outerbounds was founded recently to commercialize Metaflow, an open-source Python framework that makes infrastructure easily accessible for machine learning/data science projects. Metaflow was originally started by us at Netflix and it is now used by hundreds of companies across industries.
We care a lot about thoughtful design, overall product experience, and quality of code. We are looking for backend/systems engineers who are experienced in at least one of the following areas: Delightful API design, deep Python experience, distributed systems, or low-level systems programming.
- Metaflow: https://docs.metaflow.org
- More about us here: https://outerbounds.com/workwithus
- Join our Slack to see the project in action: http://slack.outerbounds.co
- Email: workwithus@outerbounds.co
I've been pretty disappointed with eStargz performance, though... Do you have any numbers you can share? All over the internet people refer to numbers from 10 years ago, from workloads that don't seem realistic at all. In my experiments it didn't provide a significant enough speedup.
(I ended up developing an alternative pull mechanism, which is described in https://outerbounds.com/blog/faster-cloud-compute though note that the article is a bit light on the technical details)
There's actually a lot of companies using Metaflow, big and small: https://outerbounds.com/stories