Computer Vision Engineer

RESPONSIBILITIES & FOCUS AREAS

• Building the components of a state-of-the-art computer vision pipeline for our AI system
• 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 and other similar top-tier venues)

YOU WILL THRIVE IF YOU HAVE

• Have 5+ years experience in ML / deep learning, ideally in Computer Vision
• Have strong coding ability (Python, PyTorch) 
• Have trained segmentation/detection models on real-world data at scale
• Have experience with generative modeling and large foundation models
• Have worked in startups or fast-moving teams and can wear many hats

AND FOR EXTRA CREDIT…

• Experience with high-res aerial/remote sensing imagery and LiDAR
• Experience with self-supervised and weakly-supervised learning
• Knowledge of 3D, CAD and computer graphics
• Experience with cloud computing (e.g., AWS)

DURANTA VALUES

• API = Assume Positive Intent. Our company, your relationship with co-workers and customers, and life is so much better and more fun if you follow this rule.
• Speed is the Essence. We are in a hurry to make a difference.
• Expect Peak Performance. We strive for excellence and empower those around us to do the same.
• Build something beautiful. A beautiful product, a beautiful company, and a more beautiful world.