Feature Labs builds tools and API’s to deploy impactful machine learning solutions by combining open source software and proprietary algorithms for automated feature engineering. With our technology, users can discover the most predictive patterns in behavioral and transactional datasets to build ML and AI products.
We’re growing our technical team with engineers interested in pushing the boundaries of data science and feature engineering automation. In this role, you have the opportunity to define and implement data systems while collaborating with our top notch engineering team.
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.
Feature Labs builds tools and API’s to deploy impactful machine learning solutions by combining open source software and proprietary algorithms for automated feature engineering. With our technology, users can discover the most predictive patterns in behavioral and transactional datasets to build ML and AI products.
We’re growing our technical team with engineers interested in pushing the boundaries of data science and feature engineering automation. In this role, you have the opportunity to define and implement data systems while collaborating with our top notch engineering team.
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.
If you're interested in getting hands on with our product, check out our open source library, Featuretools https://github.com/featuretools/featuretools/.
Apply at https://www.featurelabs.com/company#careers