Senior Computer Vision Engineer (Geospatial / Visual AI)
$$$$
๐ช DefTech
Product
We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging
Responsibilities
- Development and optimization of the Computer Vision pipeline
- Working with video streams and processing low-quality video input
- Implementation of cross-view feature matching and image retrieval
- Building and indexing a georeferenced tile database
- Object georeferencing and spatial analytics
- Optimization of inference latency and performance
- Participation in system architecture design
Requirements
Must-have
- 4+ years of experience in Computer Vision / Deep Learning
- Hands-on experience with geo-localisation, place recognition, or image retrieval
- Feature extraction with foundation models: DINOv2, CLIP, or equivalent
- Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
- Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
- Homography estimation and geometric verification
- Experience with satellite imagery and geospatial data
- Coordinate systems, tile indexing, GDAL
- Vector search: FAISS or other ANN libraries
- Python, PyTorch at production level
- Experience with video pipelines
- Linux, Docker
Nice to have
- PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
- Publications in cross-view localisation, visual SLAM, or UAV navigation
- Experience with degraded or compressed video
- TensorRT, ONNX, edge deployment
- CUDA
- Background in defence, aerospace, or robotics
We are looking for someone who
- Can work not only with ML models but also with production systems
- Can independently build a pipeline and make technical decisions
- Has a practical engineering mindset
- Reads and implements recent research papers
- Understands performance bottlenecks
Tech stack
Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux
Work format
- Remote
- Full-time or B2B contract
- Long-term project
- Competitive salary, discussed individually
Domain experience is a plus
- Defence tech
- Drone systems
- Satellite imagery / Remote sensing
- Visual geo-localisation
- ISR / geospatial analytics
Required skills experience
| Deep Learning | 4 years |
| Computer Vision | 4 years |
| Background geolocation tracking | 3 years |
| LoFTR | 2 years |
| LightGlue | 2 years |
+ 7 more
| InfoNCE | 2 years |
| Homography | 2 years |
| satellite imagery | 2 years |
| GDAL | 2 years |
| FAISS | 2 years |
| Python | 2 years |
| PyTorch | 2 years |
Required languages
| English | B2 - Upper Intermediate |
| Ukrainian | Native |
Published 18 May
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