Ultralytics

Computer Vision Engineer

• 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, OpenVINO, and TensorRT 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 GitHub 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.

Technical Writer

• Writing and maintaining comprehensive documentation for our open-source software, including our state-of-the-art YOLO11 model and other vision AI solutions.
• Creating engaging tutorials, how-to guides, and best-practice articles covering topics from model training and hyperparameter tuning to deployment on various platforms.
• Documenting our Python API, CLI, and key integrations like TensorRT and OpenVINO.
• Collaborating closely with our engineering and research teams to translate complex technical concepts into user-friendly content for a diverse audience.
• Managing our documentation portal using MkDocs, Markdown, and a Git-based workflow on GitHub.
• Applying SEO best practices to enhance the visibility and discoverability of our documentation and blog content.
• Developing and maintaining a consistent style and voice across all technical content, ensuring it aligns with the Ultralytics brand.