Internship: Machine Learning

Job description

About

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.

Job Description

CarbonFarm is looking for a climate-passionate Machine Learning Intern to turn satellite data into useful insights about farming practices.

Responsibilities

· 
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

Preferred Experience

Qualifications

· 
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

Would be nice

· 
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

Recruitment Process

First call.

Take-home ML exercise.

Follow-up interview.

Additional Information

·  Contract Type: Internship (Between 5 and 6 months)
·  Location: Paris
·  Occasional remote authorized