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.
Responsibilities
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)
Requirements
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
Nice to Have
Experience with high-res aerial/remote sensing imagery and LiDAR
Experience with self-supervised and weakly-supervised learning
Duranta is a software development company that provides an AI-powered platform for landscapers and lawn care professionals. Its technology helps streamline business operations through property analysis, automated measurements, proposal generation, invoicing, and CRM tools.