Even though some companies have already found success with machine learning, the vast majority of organizations large and small still struggle to launch new machine learning products and services. The problem isn’t that machine learning algorithms don’t work, but that they are too hard to use.
At Feature Labs, we’re building automation technology to make machine learning easier to use. We work on many unique and important machine learning challenges with a focus on making sure machine learning isn’t just a theoretical endeavor but has a real-world impact.
Currently, our stack is mostly Python on the backend (pandas, django, sklearn), React for the front end, and AWS and docker for deployment. Above all, we prioritize the ability to choose the right approach to solve a problem.
Even though some companies have already found success with machine learning, the vast majority of organizations large and small still struggle to launch new machine learning products and services. The problem isn’t that machine learning algorithms don’t work, but that they are too hard to use.
At Feature Labs, we’re building automation technology to make machine learning easier to use. We work on many unique and important machine learning challenges with a focus on making sure machine learning isn’t just a theoretical endeavor but has a real-world impact.
Currently, our stack is mostly Python on the backend (pandas, django, sklearn), React for the front end, and AWS and docker for deployment. Above all, we prioritize the ability to choose the right approach to solve a problem.
We love open source and hope you do too: https://www.featurelabs.com/open
Apply at https://www.featurelabs.com/careers/