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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 Dream Booth, 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, Video Crafter, Model Scope, 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, Dream Booth, 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 Dream Booth, 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, Video Crafter, Model Scope, 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, Dream Booth, 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, Diffusion, GAN, LoRA
Seniority level
- Seniority level
Mid-Senior level
- Employment type
Full-time
- Job function Science
- Industries Software Development
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