Full-Stack Engineer

Kaggle provides cutting-edge data science, faster and better than most people ever thought possible. We have a proven track-record of solving real-world problems across a diverse array of industries including pharmaceuticals, financial services, energy, information technology, and retail. Kaggle offers both public and private data science competitions and on-demand consulting by an elite global talent pool.

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.

* 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.

**What we're looking for** * You have solid programming skills from regularly shipping code. * You have exposure to web programming and modern practices. * You're experienced with a stack based on C#, ASP.NET MVC, TypeScript, React, SQL Server, and Azure (or are excited to pick it up). * You’re motivated, self-directed, a good communicator and have strong telecommuting skills (our engineering team is spread around the world). **What will set you apart** * You have a history of open source contributions and helping the broader software engineering community (through Github, StackOverflow, a blog, or the like). * You are excited about data and curious to learn more about machine learning.