Computer Vision Engineer
Description For Computer Vision Engineer
Near Space Labs is revolutionizing earth imaging through their innovative fleet of stratospheric robots. Operating at altitudes between 40,000 and 60,000 feet, their proprietary balloon-based imaging systems capture petabytes of valuable earth imagery data.
As a Computer Vision Engineer, you'll be at the forefront of developing and implementing cutting-edge algorithms for imagery analysis. This role offers a unique opportunity to work with state-of-the-art deep learning and computer vision techniques, while collaborating with a diverse team of data engineers and computer vision specialists.
The position requires strong expertise in Python and modern deep learning frameworks, with a focus on image processing and object detection. You'll be working with advanced technologies including PyTorch/TensorFlow, YOLO, and various CNN architectures, while utilizing cloud infrastructure and microservice architecture.
What makes this role exceptional is the chance to work on unprecedented challenges in space technology and earth observation. You'll be part of an international team that values innovation, rigorous thinking, and novel problem-solving. The hybrid work environment in Barcelona offers flexibility, and the startup culture ensures continuous learning and growth.
The ideal candidate will bring 4+ years of professional software development experience, strong analytical skills, and a passion for computer vision and machine learning. You'll have the opportunity to shape the future of earth observation technology while working in an inclusive environment that welcomes diverse perspectives and backgrounds.
Join Near Space Labs to be part of a revolutionary approach to earth imaging, where your expertise in computer vision will directly contribute to building and scaling unique technology that has real-world impact.
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
- 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 such as PyTorch or TensorFlow
- 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 with opportunity to build unique technology
- International and motivated team environment
- Diverse and inclusive workplace
- Opportunity to work on novel solutions to interesting problems
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