Job Description

Job Description

Job Description

ABOUT DURANTA & WHAT WE’RE LOOKING FOR

Duranta’s mission is to help create a more beautiful world. Every year, over 1.5 million acres of land in the US is being converted into dwelling areas, and we are building the platform that landscapers will use to design beautiful, ecological spaces, and run efficient businesses. We are seeking a Computer Vision Engineer to join our team.

We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world from aerial and oblique imagery. Our team includes award winning engineers and scientists (Forbes AI 50, CVPR, SIGGRAPH) with backgrounds from Stanford, UC Berkeley and CMU. We’re working on developing a modular, scalable ML pipeline to power broad geospatial intelligence. 

You will work closely with the founding team on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive intelligence from aerial imagery.

• 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)

• Have 2+ 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

• 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)

• API = Assume Positive Intent. The company, the 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.

+ equity

Note: Base salary & equity will depend largely on leveling.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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