Applied AI Researcher

GalaxEye seeks an Applied AI Researcher to design, build, and evaluate advanced machine learning models, focusing on foundation models and vision-language models (VLMs) tailored for multi-sensor satellite data. This role bridges research innovation and practical deployment, unlocking intelligence from satellite imagery through state-of-the-art AI techniques.

Key Responsibilities

• Design, train, and fine-tune foundation models and VLMs specifically adapted to satellite and geospatial image processing, enabling better semantic understanding and cross-modal reasoning.
• Develop models for detection, segmentation, change detection, retrieval, and vision-language tasks like image captioning and visual question answering on satellite imagery.
• Prototype and experiment with novel architectures and training methods to improve model accuracy, robustness, and efficiency in remote sensing environments.
• Create scalable data processing and experimentation pipelines for large geospatial datasets, ensuring reproducibility and rigorous benchmarking.
• Collaborate with AI engineering, product, and domain experts to translate mission needs into research deliverables and practical AI solutions.
• Support transition of research prototypes to production via close collaboration with MLOps and software teams.
• Publish findings in AI, computer vision, and remote sensing forums; represent GalaxEye in the global research community.

Required Qualifications

Preferred Qualifications