Computer Vision Engineer

About the Position

EOS Data Analytics is the product company, with headquarters in the USA, California, and development centers in Ukraine - Kiev, Dnipro. The digital online platform offers simple and reliable tools for searching, processing, and analyzing large volumes of data from satellites - both free and high-resolution images as a reseller.

EOS Data Analytics is looking for a Computer Vision Engineer to work with satellite imagery analysis pipelines, multi-modal data fusion, and object detection systems for earth observation products.

Responsibilities

• Build, fine-tune, optimize, and deploy Object Detection and Segmentation models for satellite imagery analysis.
• Develop and improve multi-modal solutions combining optical, SAR, and other geospatial data sources.
• Research, evaluate, and adapt state-of-the-art Computer Vision and Geospatial AI models for business use cases.
• Design and maintain geospatial data processing pipelines.
• Collaborate with product, engineering, and research teams to bring AI solutions into production.

Requirements

• 3+ years of experience in Computer Vision and Deep Learning.
• 5+ years of Python development experience.
• Strong hands-on experience with PyTorch, TensorFlow, OpenCV.
• Experience building Object Detection models (YOLO, DETR, Faster R-CNN, or similar architectures).
• Experience with Semantic and/or Instance Segmentation.
• Experience with CUDA and GPU optimization.
• Experience working with AWS (EC2, S3) and Docker.
• Strong statistical and analytical skills.
• Ability to independently research, prototype, and validate new approaches.

Nice to Have

• Experience working with satellite imagery, Earth Observation, or geospatial data.
• Hands-on experience with GDAL, Rasterio, GeoPandas, Shapely, or STAC.
• Experience with SAR imagery and multi-modal data fusion.
• Familiarity with geospatial foundation models such as Prithvi, SatMAE, TorchGeo, or SkySense.
• Experience with datasets such as DOTA, xView, SpaceNet, or SEN12MS.
• Experience with change detection, land-use/land-cover classification, or damage assessment.
• Familiarity with SageMaker, QGIS, or Vertex AI.
• Previous R&D experience and rapid prototyping mindset.

We Offer

• Work on global products in the field of space technologies.
• Mentoring, colleague support, and an open culture without micromanagement.
• 20 working days of paid vacation.
• 100% paid sick leave.
• Medical insurance.

About the Company

EOS Data Analytics is a product company offering simple and reliable tools for searching, processing, and analyzing large volumes of data from satellites. Our products include EOSDA Crop Monitoring, a satellite-driven online platform for precision agriculture, and EOSDA LandViewer, an online tool for working with satellite data. We are headquartered in the USA, California, and have development centers in Ukraine - Kiev, Dnipro.

Locations

• Kiev, Kyiv City, Ukraine
• Warsaw, Poland
• Remote work available

How We Work

We value simplicity, efficiency, and initiative. Every engineer contributes to products that reshape how the world observes Earth from space.