Apply through our online form!
What we are looking for
CarbonFarm’s work combines remote sensing data, agricultural data and machine learning. We are looking for a climate-passionate 🌳 Machine Learning Engineer to turn terabytes of satellite data into useful insights about farming practices.
Data is at the heart of everything we do, and we have a lot of it! You’ll work with a wide variety of satellite imagery and Internet-of-things data to build a comprehensive understanding of agricultural practices around the world. Our team and partners are spread across dozens of countries, so you’ll need to be a clear technical communicator who’s capable of understanding different points of view.
Responsibilities
- Collaborate with fellow engineers (ML, AI, Data) to develop models and algorithms that identify how farmers are cultivating their land from satellite and IoT data
- Propose and implement new pre-training and fine-tuning approaches for deep models
- Work with our chief architect to deploy models in production
- Research different approaches in remote sensing from the scientific community
- Test and validate models, with a particular focus on temporal/geospatial cross-validation and the mitigation of bias and leakage
- Leverage AI tooling to drive rapid iteration, with a strong bias for technical accuracy
![[Interview] Côme, co-founder of La Joist - training in energy renovation](https://images.prismic.io/jobsthatmakesense/5580830a-f854-46cf-8152-1af73cd3eac1_LaSoliveSelection-63_sansmarque-min.jpg?auto=compress,format&rect=0,648,5184,2160&w=1920&h=800)
![[Testimonials] Their professional retraining has made them happier](https://images.prismic.io/jobsthatmakesense/3b91b678-b786-4d40-9322-a8ee4e9ba8a7_cynthia-magana-mFPJXEQfb9M-unsplash.jpg?auto=compress,format&rect=0,1210,6000,2500&w=1920&h=800)