We are looking for a Machine Learning Engineer who is open to impact areas (technology driven sustainability) and has a growth mindset. Joining us you can use your skills and knowledge to make cities around the world become more livable and green.
Who we are
As the global leader in nature-based smart city solutions, we help cities around the world become greener and more resilient against climate change. We apply the latest remote sensing technologies and develop machine learning algorithms and software to automate the analysis of urban trees and green spaces. With our cloud-based platform, cities can improve the operational efficiency of green space management and strategic city planning to create a greener and healthier urban environment. We currently have offices in Berlin, Paris, San Francisco, and Singapore, with production headquarters in Budapest.
As a result of our cutting-edge data capturing (LiDAR scanners and camera systems), millions of points are generated, where our Machine Learning models are finding trees with their parameters, and representing them as digital twins. Machine Learning experts at greehill work with a huge amount of data while utilizing state-of-the-art and self-developed models to find the best ways to provide wider and wider range of information about trees. Your ideas will make sure that the data processing is always performing on the highest level.
Daily tasks in this role
Improve current Machine Learning model
Integrate new features into greehill's cloud-based distributed pipeline
Develop Machine Learning model training and evaluation pipelines
Follow up state-of-art research and ensure its implementation
Build up different pipelines for each state of model development
Implement new models, training pipeline and evaluation pipeline with the research team (later in this role)