Computer Vision Engineer

February 25

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Near Space Labs

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Near Space Labs is an aerial imagery and earth observation company. Our high-frequency, high-resolution imagery supports businesses, partners and government organizations for improved remote sensing. Our technology allows for immediate access to imagery via our API. We invite you to analyze the past, explore the present and be the first to see the future with us!

Urban imagery and Remote sensing

11 - 50 employees

📋 Description

• At Near Space Labs we design, build and operate a fleet of stratospheric robots to image the earth. • We launch our proprietary, balloon-based imaging robots to heights between 40,000 and 60,000 feet. • From this vantage point, we capture petabytes of imagery for a variety of use cases. • We are seeking a proactive Computer Vision Engineer to join our growing team. • In this role, you will develop and implement cutting-edge algorithms for imagery analysis. • You will collaborate closely with data engineers, computer vision specialists, and software engineers to enhance our processing pipelines and quality assurance. • Your responsibilities will be: • 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 our 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, including color correction, geometric correction and radiometry when needed.

🎯 Requirements

• 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 (YOLO, Faster R-CNN, Mask R-CNN, etc). • Experience in the use of deep learning image architectures and deploying models in production environments. • Familiarity with cloud-based imagery or data pipelines. • Strong analytical and problem-solving skills with the ability to work independently and in a team. • Knowledge of GDAL and geospatial Python libraries (Shapely, rasterio..) is a plus.

🏖️ Benefits

• An exciting startup culture where you will have the opportunity to play a critical role in building and scaling a one-of-a-kind technology and organization. • You will be part of an enthusiastic, international and motivated team of professionals who are committed to building unique technologies, being rigorous, and finding novel solutions to interesting problems. • A diverse and inclusive workplace where we welcome people of different backgrounds, experiences and perspectives. • A commitment that you will never be bored.