Machine Learning Scientist
Machine Learning Scientist
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Job Description
We are partnering with a leading climate-tech company that is seeking a Machine Learning Scientist to join their core team and advance the frontier of climate this role the successful candidate will collaborate closely with the founding team to develop and scale AI models that extract actionable insights from satellite and remote sensing data. The work will directly support applications in climate risk and environmental monitoring. This opportunity is ideal for professionals who thrive at the intersection of applied machine learning geospatial data and real-world impact.
- Develop train and deploy ML models using satellite imagery (optical SAR multi-modal)
- Integrate physical modelling concepts into AI architectures for better generalization and reduced data dependency
- Collaborate with the engineering team to deliver scalable pipelines for model training and inference
- Contribute to research publications and open-source projects where relevant
- Translate technical findings into clear insights for internal teams and external stakeholders
Requirements
- PhD in Machine Learning Computer Vision Remote Sensing or a related field OR MSc with 4 years of research or industry experience in ML or equivalent experience.
- 3 years hands-on experience with PyTorch or TensorFlow
- Proficient in Python/C; solid grasp of CNNs attention mechanisms and optimization tricks
- Demonstrated track record of shipping or publishing ML models using imagery data (e.g. CVPR NeurIPS AAAI or high-quality open-source repositories)
- Working knowledge of geospatial tools (GDAL Rasterio QGIS) and cloud compute infrastructure (AWS/GCP GPUs)
- Comfortable with modern DevOps tools: Git Docker CI/CD
- Excellent written and spoken English; ability to distill complex ideas for non-expert audiences
Preferred (Nice-to-Have)
- Exposure to SAR data physics-guided networks or multi-modal fusion
- Experience generating or curating synthetic datasets
- Familiarity with ONNX/TensorRT mixed-precision training or vector-DB-backed retrieval
- Previous collaboration with EU/US research labs or startups
- Passion for climate-tech agro-insurance or environmental compliance
#LI-RK1
Employment Type
Full Time
