Machine Learning Engineer – Climate tech

CarbonFarm Technology; Paris; On-site; EUR 70,000 - 110,000; Full time

Job summary

CarbonFarm Technology seeks a climate-passionate Machine Learning Engineer to turn terabytes of satellite data into actionable farming insights. You’ll work with satellite imagery and IoT data to build a deep understanding of agricultural practices worldwide, collaborating with a global team.

Based in Paris or willing to relocate, you’ll clearly communicate complex models, contribute to production deployments, and advance remote sensing research with rigorous validation and bias mitigation.

Qualifications

• Master’s degree or equivalent in data science, computer science, or remote sensing.
• 3+ years of experience with PyTorch or TensorFlow.
• Proficient with SQL/OLAP databases.
• Strong foundations in statistics and probability.
• Fluent in English; Paris-based or willing to relocate.
• Organised, independent and solution-oriented.

Responsibilities

• Collaborate with ML/AI/Data engineers to develop models and algorithms from satellite and IoT data.
• Propose and implement pre-training and fine-tuning approaches for deep models.
• Deploy models in production with the chief architect.
• Research remote sensing approaches from the scientific community.
• Test and validate models with temporal/geospatial cross-validation and bias leakage mitigation.
• Leverage AI tooling for rapid iteration with technical accuracy.

Skills

PyTorch

TensorFlow

Statistics

English fluency

Education

Master’s degree in data science / CS / remote sensing

Tools

SQL

OLAP databases

Job description

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

Requirements

• 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 focused 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