Computer Vision Engineer - Remote

Overview

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.

In Short

• 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.