CloudDevs is seeking a Staff Machine Learning Engineer to lead the development of our Wildfire Fuel Detection Model. In this role, you will work with a diverse team to create advanced machine learning models aimed at predicting vegetation and fuel conditions, helping to mitigate wildfire risks.
The ideal candidate has over 10 years of experience, is skilled in deep learning and geospatial data, and thrives in a remote-first environment. You'll enjoy flexible work hours and be part of a mission-driven team dedicated to climate action.
#J-18808-LjbffrRemote Staff ML Engineer - Lead Wildfire Risk ML Systems in town of sweden at Unknown Company
This position is listed as full time and able to be worked remotely.