Computer Vision Engineer

Duranta

$160K — $225K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in ML/deep learning, preferably in Computer Vision
  • Strong programming skills in Python and PyTorch
  • Experience with training segmentation/detection models on real-world data
  • Familiarity with generative modeling and large foundational models
  • Startup experience or ability to work in dynamic environments

Responsibilities

  • Build components for a state-of-the-art computer vision pipeline
  • Improve CV models for aerial and oblique imagery
  • Run large-scale experiments using deep learning frameworks
  • Develop and maintain modular ML infrastructure
  • Collaborate on model deployment and inference optimizations
  • Research and implement ideas from leading academic papers

Benefits

  • Join a team of award-winning engineers and scientists
  • Contribute to impactful projects in geospatial intelligence
  • Opportunity for personal growth in a fast-moving startup environment
  • Work on cutting-edge technologies and techniques in computer vision
  • Equity options available as part of the compensation package
Full Job Description

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, CMU, EPFL, NYU, ASU and University of Toronto. We9re 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.

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. 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.


$160,000 - $225,000 a year

+ equity

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

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