CarbonFarm is a climateTech working on changing the way we grow our food. Our vision? If farming is to become sustainable, it has to make economic sense to the farmer.
By using satellites and AI, we quantify emissions from agriculture so that farmers can get rewarded when they adopt low-emission practices.
CarbonFarm is looking for a climate-passionate 🌳 Machine Learning Intern to turn satellite data into useful insights about farming practices.
develop algorithms to identify farmer practices from terabytes of satellite data (SAR and optical)
collaborate with fellow engineers (ML, AI, Data) to develop models and algorithms that identify how farmers are cultivating their land
work with our chief architect to deploy models in production
explore different approaches in remote sensing from the scientific community (e.g. foundation models) to find the best models for our use case
test and validate models
2+ years programming on a regular basis, be it through school or employment
a genuine problem solver, not scared of new technologies
master’s or PhD student in data science, computer science, remote sensing or engineering
proficiency in python
at least a basic understanding of using different data structures, be it in python, SQL or otherwise
proficiency in English
attention to detail
flexible and focussed on solutions
organised and self-sufficient
familiarity working in agile environment is a plus
experience using cloud-based computing (GCP or similar) is a plus
experience processing satellite data, particularly SAR, is a plus
experience modelling time-series data is a plus
First call.
Take-home ML exercise.
Follow-up interview.
