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AI Geospatial Object Detection Engineer

Aaron Eriksson

Full-time · Job · London

About the role

Counting trees from space sounds trivial until you realize that cloud shadows, seasonal leaf changes, overlapping canopies, and sensor noise turn a "simple" detection task into one of the hardest problems in remote sensing. Our clients — forestry companies, carbon credit verifiers, and government agencies — need accurate tree counts across millions of hectares, and they need them monthly. We process 40TB of satellite imagery per month through our object detection pipeline. The current model achieves 78% mAP on our benchmark; we need 90% to meet contractual accuracy guarantees. The gap is mostly in dense canopy regions where individual tree crowns overlap, and in mixed-species forests where size and shape vary dramatically. You'll own the detection model end-to-end: architecture design, training data curation, model evaluation, and deployment to our inference cluster. The geospatial team is four engineers; you'll be the most senior ML person and will set the technical direction for detection across all our product verticals.

Responsibilities

  • Push object detection accuracy from 78% to 90%+ mAP on satellite imagery
  • Design model architectures optimized for dense, overlapping object detection
  • Curate and expand training datasets with active learning strategies
  • Deploy models to production inference cluster processing 40TB monthly
  • Set technical direction for detection across forestry, agriculture, and urban verticals
  • Evaluate new satellite data sources and sensor types for model improvement

Requirements

  • 6+ years in computer vision with focus on object detection or segmentation
  • Experience with geospatial or remote sensing data at scale
  • Strong PyTorch skills and familiarity with detection frameworks
  • Understanding of satellite imagery characteristics and preprocessing
  • Track record of improving model accuracy on real-world benchmarks

Benefits

  • Fully remote with flexible hours
  • 30 days PTO
  • Private health and dental insurance
  • £3,000 annual conference budget
  • Meaningful work with direct environmental impact

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Categories

AI & Machine Learning Engineers data science & analytics

Skills

python pytorch computer vision docker gcp

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

AI & Machine Learning Engineers data science & analytics

Skills

python pytorch computer vision docker gcp pandas

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