MACHINE LEARNING ENGINEER (CLIMATE TECH)

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.

Apply through our online form!

CarbonFarm is 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.

• 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

PREFERRED EXPERIENCE

Master’s degree or equivalent in data science, computer science, or remote sensing

3+ years of experience with PyTorch (preferred), TensorFlow, or related frameworks

Comfortable with a variety of different database technologies (SQL, OLAP)

Strong foundations in statistics and probability

Flexible and focussed on solutions

Organised and self-sufficient

Fluent in English

Paris-based or willing to relocate, with the ability to work in person with the team

Would be nice

Familiarity working in an agile environment

Experience using cloud-based computing (GCP or similar)

Previous exposure to the remote sensing domain

Apply through our online form!

first call

technical interview

second technical interview

fit and behavioural interview

Apply through our online form!

Contract Type: Full-Time Location: Paris Education Level: Master's Degree Experience: > 3 years Occasional remote authorized

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