GPU SW (OpenCL/CUDA)

As a Computer Vision and Machine Learning Engineer, you will: • Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. • Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models • Have technical responsibility for one or more significant sections of the assigned project • Translate complex functional and technical requirements into detailed design Essential Skills • Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines • Professional software development experience with modern C++ • Experience with GPU compute in CUDA/OpenCL • Excellent communication, teamwork and a results-oriented attitude • Proficiency in problem-solving and debugging • Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques. Desirable Skills Demonstrated experience in: • Generative AI, including hands-on implementation of state-of-the-art models. • 3-D vision • Developing with machine learning frameworks – Tensorflow/Pytorch • Model optimization and knowledge distillation. • Strong fundamentals in machine learning, NLP and Computer Vision • Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar) • Experience in Android application development