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About us
Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environment, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.
We are looking for an experienced Computer Vision Engineer to design and implement advanced computer vision algorithms, particularly within the GIS domain. You will work on practical, production-ready solutions for our platform, including image analysis, synthesis, and manipulation. The role involves identifying technical challenges, contributing to research initiatives, and delivering reliable CV modules that can be integrated into real systems. You should be able to combine solid theoretical knowledge with hands-on problem-solving and independent execution.
Responsibilities
* Design, develop, and deploy advanced computer vision algorithms for image and video analysis, with a focus on GIS-related applications.
* Work closely with cross-functional engineering teams to integrate CV components into operational products and platforms.
* Optimize algorithms for performance, reliability, and scalability in real-time or resource-constrained environments.
* Process and analyse large-scale datasets for model training, validation, and continuous improvement.
* Build end-to-end perception pipelines, including data collection, preprocessing, model development, and deployment.
* Diagnose, troubleshoot, and resolve complex issues in computer vision applications.
* Contribute to internal research initiatives, exploring emerging techniques in image synthesis, manipulation, and applied ML.
Requirements
* Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
* 5+ years of hands-on experience in computer vision and applied machine learning.
* Strong proficiency in Python and experience with key CV/ML libraries (OpenCV, TensorFlow, PyTorch, etc.).
* Solid understanding of machine learning, deep learning, and model development workflows.
* Proven experience with image processing, model training, and evaluation methods.
* Ability to translate theoretical knowledge into practical solutions and high-quality engineering outputs.
* Excellent analytical, communication, and teamwork skills.
Nice to have
* Experience working with graphics APIs (OpenGL, OpenGLES, Direct3D).
* Background in graphical algorithms, 3D rendering, or computational geometry.
* Familiarity with embedded systems or hardware-accelerated processing.
Application Process
* Submit your CV and a brief cover letter explaining your interest and experience.
* Complete a test assignment to demonstrate your skills and approach to solving real-world problems.
* Interview with our technical team and leadership.
Why us
* Impactful projects. Your work will strengthen the country’s defense capability and support the Ukrainian Armed Forces; your results will directly help our defenders;
* Professional team and startup dynamics. You will become part of a team of professionals who develop cutting‑edge technologies and value teamwork. Our culture encourages knowledge exchange, innovation and rapid growth.
* Flexible conditions. Remote work, flexible schedule, paid vacation and sick leave.
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