Intermediate Software Engineer II

OUR VISION
At EarthDaily Analytics (EDA), we strive to build a more sustainable planet by creating innovative solutions that combine satellite imagery of the Earth, modern software engineering, machine learning, and cloud computing to solve the toughest challenges in agriculture, energy and mining, insurance and risk mitigation, wildfire and forest intelligence, carbon-capture verification and more. EDA’s signature Earth Observation mission, the EarthDaily Constellation (EDC), is currently under construction. EDC will be the most powerful global change detection and change monitoring system ever developed, capable of generating unprecedented predictive analytics and insights. It will combine with the EarthPipeline data processing system to provide unprecedented, scientific-grade data of the world every day, positioning EDA to meet the growing needs of diverse industries.

OUR TEAM 
Our global, enterprise-wide team represents a variety of business lines and is made up of business development, sales, marketing and support professionals, data scientists, software engineers, project managers and finance, HR, and IT professionals. Our Wildfire & Forest Intelligence team is nimble and collaborative, and in preparation for launching a frontier and disruptive product in EDC, we are currently looking for a Intermediate Software Engineer to join our crew! This is a Canada-based position, open to candidates working remotely within Canada or in-person/hybrid out of our Vancouver head office. All candidates must have an existing work authorization to work in Canada. 

PREPARE FOR IMPACT!
Develop high-quality, interpretable remote-sensing models for wildfire and vegetation applications with a focus on model quality, scientific validity, and explainability. The incumbent will design and train EO models (optical + optionally SAR/LiDAR) for vegetation/wildfire tasks: risk, fuels, burn severity, canopy/biomass proxies, change detection.

KEY RESPONSIBILITIES:

• Validate scientifically: cross-region/season transfer, sensor robustness, calibration/reliability diagrams, ablations, error analysis by ecozone
• Communicate model behaviour to non-ML stakeholders (maps, narratives, dashboards) and recommend actions or thresholds for operational use
• Collaborate with the pipeline engineer to integrate explanations and quality metrics into outputs and monitoring (you don’t need to build the pipelines)
• Produce clear technical notes: data assumptions, evaluation protocol, interpretation limits, and ethical considerations
• Drive explainable AI (XAI) and uncertainty: feature attribution (e.g., SHAP/Permutation), saliency/Grad-CAM (for CNNs), counterfactuals, confidence/uncertainty (ensembles, MC-dropout)

• Bachelor's degree in Geomatics, RS, Forestry, Environmental Science, or related field
• Master’s degree in a related field an asset
• 3+ years in remote sensing/geomatics/ML or related role
• Strong Python for modeling and analysis: numpy, pandas, scikit-learn, xgboost/lightgbm, plus at least one deep-learning stack (PyTorch or TensorFlow)
• Remote-sensing experience with vegetation problems (Sentinel-2/Landsat/Planet/MODIS; indices, spectral features, compositing)
• Practical XAI experience: SHAP/LIME/permutation importance or saliency methods; turning explanations into decisions
• Solid GIS/RS fundamentals: projections, resampling, raster/vector ops (geopandas, rasterio, xarray), basic QGIS/ArcGIS

• Domain exposure to forestry/wildfire (fuels, burn severity, forest health, canopy/biomass, disturbance)
• SAR (Sentinel-1/RCM; speckle handling, coherence) and/or LiDAR (GEDI/ALS/TLS; PDAL) signals in vegetation tasks
• Uncertainty quantification and reliability (calibration, conformal prediction), bias/robustness testing, or causal/ablation studies
• Foundation/multimodal RS models; weak supervision or labeling strategies for EO
• Basic cloud literacy (AWS/GCP/Azure) and collaboration with MLOps—but pipelines are not your primary remit

• Competitive compensation and flexible time off 
• Be part of a meaningful mission in one of North America's most innovative space companies developing sustainable solutions for our planet
• Great work environment and team, with a waterfront head office location in Vancouver, BC.