Computer Vision Engineer

🔥 Who We Are

AtUltralytics, we relentlessly drive innovation in AI, building the world's leadingYOLO 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. Joinour teamand help shape the future ofVision AI.

🌎 Location and Legalities

This full-time Computer Vision Engineer position is based onsite in our brand-newUltralytics officein London, UK. Applicants must have legal authorization to work in the UK, 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-artcomputer vision models, with a primary focus on theUltralytics YOLOecosystem.
• Implementing advanceddata augmentationand preprocessing techniques to improve model robustness on diversedatasets.
• Leading the full lifecycle of model development, from research andtrainingtovalidationand performancebenchmarking.
• Mastering modelexportto various formats such asONNX,OpenVINO, andTensorRTto support a wide range of hardware.
• Working on modeldeploymentstrategies, including optimizing models for high-performance inference on both cloud andedge devices.
• Contributing to ourCI/CDpipelines usingGitHub Actionsto ensure code quality, reliability, and automated testing.
• Collaborating with the team to push the boundaries of what's possible inobject detection,segmentation, and other corecomputer vision tasks.

Your strategic vision and technical expertise will be essential in supportingUltralytics' missionof delivering top-tier machine learning tools and models likeYOLO11to the community.

🛠️ Skills and Experience

• 5+ years of hands-on experience inComputer VisionandDeep Learning.
• Expert-level proficiency inPythonand deep expertise withPyTorch.
• Strong practical experience withOpenCVfor image and video processing tasks.
• Proven experience in training, fine-tuning, and deploying object detection models, particularly within theYOLO family.
• Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks likeTensorRTandOpenVINO.
• Experience with MLOps tools and practices, including version control (Git),Docker, andCI/CD with GitHub Actions.
• Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
• A strong portfolio of projects or contributions to open-sourceAI repositories.

🌟 Cultural Fit - Intensity Required

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by ourmission, vision, and values. Ourteamthrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

💶 Compensation and Benefits

• Competitive Salary:Highly competitive based on experience.
• Startup Equity:Participate directly in our company's growth and success.
• 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-edgeAI projectsand ourUltralytics HUB.
• Gear:Brand-new Apple MacBook and Apple Display provided.
• Team:Become part of a supportive and passionateteam environment.

If you are driven to redefine the capabilities ofmachine learningand eager to make a significant impact,Ultralyticsoffers an exceptional career opportunity.