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Computer Vision Engineer
Harnham
- London, England, United Kingdom
- London, England, United Kingdom
Über
Direct message the job poster from Harnham Computer Vision Engineer - Fully Remote (Global) We are working with a leading AI organisation who offer a unique and personalised gaming and role playing reality. They aim to push the boundaries of technology whilst focusing on ethics and user privacy. As an AI Vision Engineer, you'll play a pivotal role in developing cutting-edge image and video generation capabilities. You'll work hands-on with generative models and computer vision systems, shipping production-ready features that elevate user engagement and creative expression. What You'll Do Collaborate cross-functionally with AI engineers, product teams, and creators to shape and deliver new visual AI features. Fine-tune diffusion-based models using techniques such as DreamBooth, LoRA, or textual inversion to embed novel concepts. Enhance and scale our image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques. Design and implement advanced prompt engineering and conditioning strategies to ensure consistent, high-quality visual outputs. Evaluate and integrate open-source models such as Stable Diffusion, VideoCrafter, ModelScope, and Hunyuan. Build internal tools and libraries to streamline dataset preparation, experimentation, and quality control workflows. Technical Skills: Bachelor's or higher degree in Computer Science, Mathematics, Physics, or a related field. 3+ years of hands-on experience with generative vision models (e.g. Stable Diffusion, GANs, LoRA, DreamBooth, or video diffusion models). Proficient in Python, with practical experience using libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV Solid software engineering practices-modular code, testing, version control (e.g. Git), and collaborative development workflows. Experience working in cloud-based environments such as AWS or GCP for model training, experimentation, and data processing. *Please note, some work will include NSFW images and videos*
Computer Vision Engineer - Fully Remote (Global) We are working with a leading AI organisation who offer a unique and personalised gaming and role playing reality. They aim to push the boundaries of technology whilst focusing on ethics and user privacy. As an AI Vision Engineer, you'll play a pivotal role in developing cutting-edge image and video generation capabilities. You'll work hands-on with generative models and computer vision systems, shipping production-ready features that elevate user engagement and creative expression. What You'll Do Collaborate cross-functionally with AI engineers, product teams, and creators to shape and deliver new visual AI features. Fine-tune diffusion-based models using techniques such as DreamBooth, LoRA, or textual inversion to embed novel concepts. Enhance and scale our image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques. Design and implement advanced prompt engineering and conditioning strategies to ensure consistent, high-quality visual outputs. Evaluate and integrate open-source models such as Stable Diffusion, VideoCrafter, ModelScope, and Hunyuan. Build internal tools and libraries to streamline dataset preparation, experimentation, and quality control workflows. Technical Skills: Bachelor's or higher degree in Computer Science, Mathematics, Physics, or a related field. 3+ years of hands-on experience with generative vision models (e.g. Stable Diffusion, GANs, LoRA, DreamBooth, or video diffusion models). Proficient in Python, with practical experience using libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV Solid software engineering practices-modular code, testing, version control (e.g. Git), and collaborative development workflows. Experience working in cloud-based environments such as AWS or GCP for model training, experimentation, and data processing. *Please note, some work will include NSFW images and videos*
Desired Skills and Experience
Computer Vision, Diffusion, GAN, LoRA
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Sprachkenntnisse
- English
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