Computer Vision Engineer

Near Space Labs designs, builds and operates a fleet of stratospheric robots to image the earth using balloon-based imaging robots.
Machine Learning
Mid-Level Software Engineer
Remote
4+ years of experience
AI · Space

Description For Computer Vision Engineer

Near Space Labs is revolutionizing earth imaging through their innovative fleet of stratospheric robots. As a Computer Vision Engineer, you'll be at the forefront of developing cutting-edge algorithms for imagery analysis, working with state-of-the-art deep learning and computer vision techniques. The role combines challenging technical work with real-world impact, processing petabytes of imagery data captured from 40,000-60,000 feet above Earth. You'll join an international team in Barcelona, with the flexibility to work remotely or from the office. The position requires strong expertise in Python, deep learning frameworks, and image processing, with opportunities to work on complex problems in geospatial data analysis. The company offers a dynamic startup environment where you'll contribute to unique technology development while being part of a diverse and inclusive workplace. This role is perfect for someone who wants to combine their computer vision expertise with space technology innovation.

Last updated 18 days ago

Responsibilities For Computer Vision Engineer

  • Research, develop and implement Q&A algorithms on imagery using state-of-the-art DL and CV techniques
  • Improve georeferencing processes and experiment with different approaches
  • Optimize deep learning models, ensuring scalability and efficiency
  • Implement detectors, masks and feature extraction as needed
  • Implement algorithms for Image Correction with RGB and multispectral sensors

Requirements For Computer Vision Engineer

Python
PostgreSQL
Kubernetes
  • 4+ years of experience in a professional software development environment
  • Degree in computer science, computer vision, machine learning or equivalent
  • Proficient in Python with extensive experience in deep learning frameworks
  • Strong knowledge of image processing techniques, object detection and segmentation
  • Experience in deploying models in production environments
  • Familiarity with cloud-based imagery or data pipelines
  • Strong analytical and problem-solving skills
  • Knowledge of GDAL and geospatial Python libraries is a plus

Benefits For Computer Vision Engineer

  • Exciting startup culture
  • International and motivated team environment
  • Diverse and inclusive workplace
  • Flexible work location (home or office)

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