Senior computer engineer

Jordan martorell s.l.; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading AI company in Madrid is seeking a passionate Computer Vision Engineer. This role involves developing and optimizing state-of-the-art YOLO models for real-world applications. You will drive the full lifecycle of model development, implement advanced techniques, and contribute to CI/CD processes. Ideal candidates will have strong expertise in Python and PyTorch, practical experience with OpenCV, and a solid portfolio in AI projects. The position offers a hybrid work model with generous time off and a dynamic, high-energy environment.

Servicios

24 days vacation

Birthday off

Local holidays

Flexible hours

Latest tech gear provided

Formación

• Expert-level proficiency in Python and PyTorch required.
• Strong portfolio of projects or contributions to open-source AI repositories essential.

Responsabilidades

• Drive the lifecycle of AI models from research to deployment.
• Develop and optimize state-of-the-art computer vision models.
• Lead model deployment strategies for both cloud and edge devices.

Conocimientos

OpenCV for image and video processing

Python programming

Deep learning with PyTorch

MLOps tools and practices

Herramientas

Git

Docker

TensorRT

OpenVINO

Descripción del empleo

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 global impact, and ready to excel in a dynamic, high-energy environment. 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 Spain, as Ultralytics does not provide visa sponsorship.

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. 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. 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. Expert-level proficiency in Python and deep expertise with PyTorch.

• Strong practical experience with OpenCV for image and video processing tasks.
• Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family.
• Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO.
• Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions.
• A strong portfolio of projects or contributions to open-source AI repositories.

Cultural Fit - Intensity Required

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. Hybrid Flexibility: 3 days per week in our brand-new office – 2 days remote. Generous Time Off: 24 days vacation, your birthday off, plus local holidays. Flexible Hours: Tailor your working hours to suit your productivity. Tech: Engage with cutting-edge AI projects and our Ultralytics HUB. Gear: Brand-new Apple MacBook and Apple Display provided.