Remote Full Stack Engineer Kaggle at a machine learning startup Open Startup
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a machine learning startup


Full Stack Engineer Kaggle

Full Stack Engineer Kaggle


a machine learning startup


engineer

 

full stack

 

engineer

 

full stack

 
This job post is closed and the position is probably filled. Please do not apply.
\nCome help us create the future of Kaggle and in doing so, help shape the future of data science.\n\nAs background, Kaggle is best known for running machine learning competitions. We have a community of almost 600K data scientists who come to Kaggle to learn, compete, and collaborate on the cutting edge of machine learning to solve business and research problems for organizations like Facebook, NASA, and GE.\n\nIn 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.\n\nWe 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.\n\nWhat you'll do\n\n\n* Architect and create new site features, ranging from discussing wireframes to creating the data model and deploying the end result.\n\n* Implement local tooling to facilitate users transferring their analytics between local environments and Kaggle's infrastructure.\n\n* Build features in our current web stack (C#, ASP.NET MVC,  TypeScript, React, SQL Server, and Azure).\n\n* Create and build on our services layer (which includes Linux,  Docker, and Python for running user code).\n\n* Measure, optimize, and scale Kaggle’s infrastructure.\n\n* Ship every day.\n\n\n


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