Develop algorithms to solve challenging computer vision problems, reducing customers’ manual work—from survey analysis to optimal drone flight planning.
Combine methods from deep learning, object detection, segmentation, classification, photogrammetry, 3D mapping, geometry, image processing, and optimization.
Conduct research and feasibility studies, define algorithm requirements, and integrate solutions into the product.
Bring solutions from theory to production, collaborating with cross-functional teams (Product, R&D, Operations) to align on goals and deliverables.
Take ownership of integrating AI capabilities into production and iterating based on real-world feedback.
Work with an agile team of experts using cutting-edge software development methodologies to deliver quality software to customers.
Tackle multidisciplinary challenges spanning deep learning, photogrammetry, 3D mapping, and robotics to improve drone autonomy and Digital Twin reconstruction.
Requirements
MSc or PhD in Computer Science, Engineering, Physics, or a related field.
5+ years of professional experience developing Deep Learning and Computer Vision algorithms.
3+ years of experience in software development with strong Python programming skills.
Ability to deliver production-quality code using software engineering best practices.
Hands-on expertise with PyTorch or TensorFlow.
Robust understanding of CNNs - theory, architectures, and optimizers.
Solid grasp of classic computer vision techniques and image processing methods.
Knowledge in 3D representation and toolkits - strong advantage.
Experience in one or more of the following areas: object detection, segmentation, pose estimation, robotics or 3D graphics.
Independent, fast learner and resourceful team player; self-motivated and loves solving complex problems.