WindBorne designs, builds, and operates a constellation of long-duration smart weather balloons targeting the most critical data in the atmosphere. Backed by Khosla and Pear VC.
About the role
Our model, WeatherMesh, runs 24/7, producing global forecasts every hour. Our deep learning research team is small and iterates quickly, but sometimes R&D gets ahead of the internal tools that support it. We’re looking for a talented and curious software engineer to keep model inference running reliably, process atmospheric data as it arrives, and build tools that show us what’s happening in both. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
WindBorne Systems designs, manufactures, and operates Atlas, a global constellation of smart weather balloons. The atmospheric observations they collect help drive WeatherMesh, our AI weather model .
Our model, WeatherMesh, runs 24/7, producing global forecasts every hour. Our deep learning research team is small and iterates quickly, but sometimes R&D gets ahead of the internal tools that support it. We’re looking for a talented and curious software engineer to keep model inference running reliably, process atmospheric data as it arrives, and build tools that show us what’s happening in both.
In this role, you’ll work with our deep learning team and backend and frontend engineers. We have problems for you to tackle right away, and we also want someone with ideas about what to build next. You’ll help figure out what’s needed, build it, and be responsible for how it works once it’s running.
Prior machine learning experience is not required! You can come in with no ML background at all and be successful. Where you lack understanding, you’ll dig into model code, ask researchers questions, and use AI tools to get up to speed. Essentially, learn what you need to build and go build it....
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