Helpware Tech

Engineer

• Contribute to geospatial and environmental risk analysis using high-resolution drone imagery
• Fine-tuning and benchmarking zero-shot object detection and depth estimation models (e.g., Grounding DINO, OV-DINO)
• Incorporate DSM/DTM data layers to improve contextual depth estimation
• Develop reproducible evaluation notebooks and visualizations, mapping outputs to wildfire resilience standards
• Collaborate with domain experts in geospatial analytics and wildfire risk to ensure models meet real-world criteria
• Transition from open-vocabulary to closed-set detection as labeled datasets become available
• Ensure high standards in code quality, version control, and experiment reproducibility

ML Engineer, Computer Vision – Geospatial & Environmental Analysis