Computer Vision Engineer

Duranta is an applied research lab building cutting-edge computer vision and generative modeling systems for geospatial intelligence. They seek a Senior Computer Vision Engineer to develop and deploy deep learning models for aerial imagery understanding, including segmentation, detection, and 3D reasoning.

• Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
• Run experiments at scale with deep learning frameworks like PyTorch
• Develop and maintain clean, modular ML infrastructure
• Collaborate on model deployment and inference optimizations
• Read and reproduce ideas from latest papers (CVPR, NeurIPS)

• 5+ years experience in ML / deep learning, ideally in Computer Vision
• Strong coding ability (Python, PyTorch)
• Trained segmentation/detection models on real-world data at scale
• Experience with generative modeling and large foundation models
• Experience working in startups or fast-moving teams

• Experience with high-res aerial/remote sensing imagery and LiDAR
• Experience with self-supervised and weakly-supervised learning