Computer Vision Engineer

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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 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

• Job function

  Science

• Industries

  Software Development

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