Kaggle hasa community of almost 600K data scientists who come to Kaggle to learn, compete, and collaborate on the cutting edge of machine learning. We are best known for running machine learning competitions with organizations like Facebook, NASA, and GE.

In our next chapter, Kaggle is expanding to become the place where data scientists share code and analysis in a reproducible way. We’re building this platform for data science collaboration (the closest analogy is Github for data science) around our thriving community. As part of our small team, you’ll be a part of designing and building this platform in its early stages. We don’t expect you to know everything coming in, so we’ll pair you with mentors who will help you grow and develop your skills.

We like working remotely: a lot of our team is distributed. We prefer US-based timezones but will hire the right candidate anywhere in the world. If you’re in the San Francisco Bay Area or interested in relocating here, you’ll enjoy our easy-going office culture and all the beauty the Bay Area has to offer.

What you’ll do

• Architect and create new site features, ranging from discussing wireframes to creating the data model and deploying the end result.
• Implement local tooling to facilitate users transferring their analytics between local environments and Kaggle’s infrastructure.
• Build features in our current web stack (C#, ASP. NET MVC, TypeScript, React, SQL Server, and Azure).
• Create and build on our services layer (which includes Linux, Docker, and Python for running user code).
• Measure, optimize, and scale Kaggle’s infrastructure.
• Ship every day.