<h1>What we're looking for</h1><p>CarbonFarm is looking for a climate-passionate 🌳 Machine Learning Engineer to turn terabytes of satellite data into useful insights about farming practices.</p><p>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.</p><p></p><h2>Responsibilities</h2><ul><li><p>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</p></li><li><p>Propose and implement new pre-training and fine-tuning approaches for deep models</p></li><li><p>Work with our chief architect to deploy models in production</p></li><li><p>Research different approaches in remote sensing from the scientific community</p></li><li><p>Test and validate models, with a particular focus on temporal/geospatial cross-validation and the mitigation of bias and leakage</p></li><li><p>Leverage AI tooling to drive rapid iteration, with a strong bias for technical accuracy</p></li></ul><p></p><h2>Requirements</h2><ul><li><p>Master’s degree or equivalent in data science, computer science, or remote sensing</p></li><li><p>3+ years of experience with PyTorch (preferred), TensorFlow, or related frameworks</p></li><li><p>Comfortable with a variety of different database technologies (SQL, OLAP)</p></li><li><p>Strong foundations in statistics and probability</p></li><li><p>Flexible and focussed on solutions</p></li><li><p>Organised and self-sufficient</p></li><li><p>Fluent in English</p></li><li><p>Paris-based or willing to relocate, with the ability to work in person with the team</p></li></ul><p></p><h3>Would be nice</h3><ul><li><p>Familiarity working in an agile environment</p></li><li><p>Experience using cloud-based computing (GCP or similar)</p></li><li><p>Previous exposure to the remote sensing domain</p></li></ul><p></p><h1>Benefits</h1><p>We offer a permanent position (”Contrat à Durée Indeterminée” - CDI) with a competitive salary and stock options. We provide comprehensive health benefits through Alan (mutuelle), Swile card for meal vouchers, and 50% transportation cost coverage.</p><p></p><h1>About Us</h1><p>CarbonFarm is creating a sustainable, profitable future for smallholder farmers.</p><p>We believe in a future where the 1 billion land stewards in this world can live profitably while taking care of the planet. That’s why we are aligning the two: profitability and climate impact.</p><p></p><h1>Why CarbonFarm</h1><p>🥊&nbsp;Impact-focused company helping to fight climate change</p><p>🚀&nbsp;Beautiful office spaces in the very cool Station F</p><p>💨&nbsp;Agile team of brilliant problem solvers</p><p>🌏&nbsp;International team with international ambitions (24 people, 14 nationalities)</p><p>☁️&nbsp;Deep-tech startup using modern, cloud-based technologies</p>

<p>Decarbonising rice growing through transparent incentives for farmers to adopt sustainable practices. </p><p>CarbonFarm monitors the adoption of sustainable practices from satellite imagery using AI. This allows us to support farmers' claims to greenhouse gas linked rewards.</p>

Machine Learning Engineer

<h1>What we're looking for</h1><p>CarbonFarm is looking for a climate-passionate 🌳 Machine Learning Engineer to turn terabytes of satellite data into useful insights about farming practices.</p><p>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.</p><p></p><h2>Responsibilities</h2><ul><li><p>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</p></li><li><p>Propose and implement new pre-training and fine-tuning approaches for deep models</p></li><li><p>Work with our chief architect to deploy models in production</p></li><li><p>Research different approaches in remote sensing from the scientific community</p></li><li><p>Test and validate models, with a particular focus on temporal/geospatial cross-validation and the mitigation of bias and leakage</p></li><li><p>Leverage AI tooling to drive rapid iteration, with a strong bias for technical accuracy</p></li></ul><p></p><h2>Requirements</h2><ul><li><p>Master’s degree or equivalent in data science, computer science, or remote sensing</p></li><li><p>3+ years of experience with PyTorch (preferred), TensorFlow, or related frameworks</p></li><li><p>Comfortable with a variety of different database technologies (SQL, OLAP)</p></li><li><p>Strong foundations in statistics and probability</p></li><li><p>Flexible and focussed on solutions</p></li><li><p>Organised and self-sufficient</p></li><li><p>Fluent in English</p></li><li><p>Paris-based or willing to relocate, with the ability to work in person with the team</p></li></ul><p></p><h3>Would be nice</h3><ul><li><p>Familiarity working in an agile environment</p></li><li><p>Experience using cloud-based computing (GCP or similar)</p></li><li><p>Previous exposure to the remote sensing domain</p></li></ul><p></p><h1>Benefits</h1><p>We offer a permanent position (”Contrat à Durée Indeterminée” - CDI) with a competitive salary and stock options. We provide comprehensive health benefits through Alan (mutuelle), Swile card for meal vouchers, and 50% transportation cost coverage.</p><p></p><h1>About Us</h1><p>CarbonFarm is creating a sustainable, profitable future for smallholder farmers.</p><p>We believe in a future where the 1 billion land stewards in this world can live profitably while taking care of the planet. That’s why we are aligning the two: profitability and climate impact.</p><p></p><h1>Why CarbonFarm</h1><p>🥊 Impact-focused company helping to fight climate change</p><p>🚀 Beautiful office spaces in the very cool Station F</p><p>💨 Agile team of brilliant problem solvers</p><p>🌏 International team with international ambitions (24 people, 14 nationalities)</p><p>☁️ Deep-tech startup using modern, cloud-based technologies</p>

Machine Learning Engineer

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