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remote sensing engineer – forestry
il y a 3 semaines
AboutSymbioseis a venture-backed deeptech company at the crossroads ofspace-techandnature-tech, pioneering the use ofAI, remote sensing, and High-Performance Computing (HPC) to transform how forests are monitored, managed, and valued. By fusing diverseEarth Observation data, from hyperspectral, LiDAR, radar, and optical imagery, Symbiose delivers precise, real-time insights into forest health, carbon dynamics, and climate resilience. Our AI-driven platform empowers forest owners, investors, and insurers with actionable intelligence to accelerate FSC certification, enhance transparency, and drive a nature-positive economy. Our Mission Is Simple But Ambitious Make forest data actionableto protect biodiversityenhance carbon capture, and make sustainable forestry the new norm.
Why join
us? At Symbiose, you'll join a passionate team working at the intersection ofAIfor good andclimate innovation. You'll have the freedom to experiment, the space to grow, and a direct impact on how forests are managed globally. Purpose-driven mission: your work contributes directly to forest conservation and climate resilience.
Deep tech + impact:applied AI, geospatial analytics, and environmental modeling. Collaborative culture: open-minded, curious, and committed to real-world change. Based atStation F: Europe's largest startup campus, surrounded by top innovators.
What we're looking
forWe're always on the lookout for bold thinkers and builders, people who thrive at the frontier of technology and ecology. Whether your background is in machine learning, remote sensing, data engineering, forestry, or business development, if you care about the planet and cutting-edge innovation, you'll fit right in. Job DescriptionRole OverviewWe are seeking a Remote Sensing Engineer – Forestry to join our team. As a specialist in remote sensing applied to forestry, you will focus on integrating and exploiting multi-source EO datasets (satellite, LiDAR, hyperspectral, radar) to deliver cutting-edge insights into forest ecosystems.
Your mission will include detecting tree species, estimating biomass and carbon, and analysing forest vulnerability to fires, pests, diseases, and storms. You will also advance and calibrate forest growth models, bridging EO technology with ecological expertise. You'll join a multidisciplinary team of AI researchers, forest ecologists, and data engineers — where curiosity, autonomy, and impact drive every project. Together, you'll prototype and scale new EO-based forestry products, transforming scientific innovation into real-world applications.
Key ResponsibilitiesDesign, build, and maintain ETL pipelines for large-scale geospatial and non-geospatial data. Process, analyze, and fuse EO datasets (Sentinel, Pléiades Néo, GEDI LiDAR, hyperspectral, radar). Develop algorithms for forest mapping, including species classification, canopy height models, biomass/carbon stock estimation, and volume modeling. Detect and monitor anomalies such as fire events, drought stress, and pest outbreaks.
Support product development for FSC/PEFC certification, carbon/biodiversity valuation, and forest pricing. Develop and maintain data processing workflows using tools like Airflow and Docker/Kubernetes. Collaborate with domain experts to support advanced analytics (climate risk modeling, fire monitoring, …). Contribute to the design and deployment of geospatial APIs and services.
Document methods, maintain reproducibility, and ensure scalability of workflows. Preferred ExperienceNice to HaveBackground in forestry analysis, climate risk, wildfire analysis, or environmental monitoring.
Experience
with open-source geospatial frameworks (GDAL, PDAL, OGC standards).
Experience
with geospatial databases (PostGIS, DuckDB, SedonaDB, …) ensuring high performance for spatial queries and analytics.
Experience
with managing LiDAR & High-Resolution data (Petabytes data) and High-Performance Computer environment (HPC). Familiarity with containerization and pipeline orchestration (Docker, Airflow, Kubernetes). Exposure to national/international forest datasetSoft SkillsAutonomous, rigorous, and scientifically minded. Ability to communicate complex results clearly to technical and non-technical audiences.
Strong team spirit, open to interdisciplinary collaboration. Curious and proactive in exploring innovative approaches to forestry challenges. Recruitment ProcessStep 1: 30-minute screening call with our People teamStep 2: Take-home case studyStep 3: Feedback & culture-fit interviewStep 4: Onboarding at Station F We're a fast-moving startup —> the whole process takesno more than two weeksAdditional InformationContract Type: Full-TimeLocation: ParisPossible partial remote
