At Deepnote we are building a better Jupyter notebook.
We work with TypeScript/React/Python/Docker/Kubernetes/Jupyter to build infrastructure for running heavy machine learning workloads and to give everyone access to a state-of-the-art data science tooling.
We are looking for experienced developers excited about contributing to open source software and helping researchers, developers and data scientists solve hard problems.
Data science is as much a scientific and creative process as it is an engineering one. It involves working together, failing, learning and going back to the drawing board. Data scientists are explorers. To make data projects successful, we need tools that are both powerful and easy to use. Tools that help us collaborate and share our work in an engaging way. Tools that make data science fun again.
At Deepnote, we’re building a new standard in data tooling — a notebook that brings teams together to explore, analyze and present data from start to finish.
We are building tools for explorers. Join us.
