Who We Are At Ultralytics , we relentlessly drive innovation in AI, building the world's leading YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a integral impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI . Location and Legalities This full-time Computer Vision Engineer position is based onsite in our Ultralytics office in Madrid, Spain. Applicants must have legal authorization to work in the Spain, as Ultralytics does not provide visa sponsorship. What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models . You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: Developing, training, and optimizing state-of-the-art computer vision models , with a primary focus on the Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets .
Leading the full lifecycle of model development, from research and training to validation and performance benchmarking . Mastering model export to various formats such as ONNX , Open VINO , and Tensor RT to support a wide range of hardware. Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices . Contributing to our CI/CD pipelines using Git Hub Actions to ensure code quality, reliability, and automated testing. Collaborating with the team to push the boundaries of what's possible in object detection , segmentation , and other core computer vision tasks . Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. ️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep