🛠 Tech Stack

💼 About This Role

You'll lead development of experimental ML models for geospatial imagery analytics at Spexi, a drone and blockchain-powered aerial imagery platform. Your work will bridge research and production, delivering high-quality code for next-gen geospatial intelligence products. You'll spearhead integration of state-of-the-art foundation models like SAM2 for aerial segmentation.

🎯 What You'll Do

• Design, train, and productionize models for aerial-image classification, object detection, and 2D/3D segmentation.
• Integrate and optimize foundation models for aerial segmentation via prompt engineering, fine-tuning, and distillation.
• Engineer change detection models to distinguish real-world changes from noise and seasonal variations.
• Develop predictive models for trend forecasting using time-series and spatial context.

📋 Requirements

• M.S. and 5+ years in Computer Science, Computer Vision, or related field.
• 3+ years of applied ML and computer vision experience transitioning models from research to production.
• Expertise in predictive AI for imagery including classification, object detection, and segmentation.
• Production experience operating ML pipelines on AWS, specifically SageMaker.

✨ Nice to Have

• Ph.D. and 7+ years blending AI with physical sciences like Photogrammetry.
• Deep expertise in geospatial workflows including GDAL, PostGIS, and rasterio.
• Experience with 3D scene understanding using NeRFs, Gaussian Splatting, and point cloud segmentation.

🎁 Benefits & Perks

• 🏡 Remote-friendly environment with hub in Vancouver.
• ⏰ Flexible hours.
• 🏥 Medical, dental, and vision health benefits.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 120 min