Back to search
Job Title: Machine Learning Engineer (Computer Vision)
Location:Staines-upon-Thames, Surrey, UK
About the Role:We are seeking a talented and passionate Machine Learning Engineer with expertise in Computer Vision to join our innovative AI & Graphics team. This is a fantastic opportunity to work on next-generation mobile devices and push the boundaries of AI and content creation.
Key Responsibilities:
- Explore and experiment with emerging technologies to enhance AI-driven content reconstruction, creation, and editing processes.
- Review state-of-the-art computer vision research papers and develop prototype solutions.
- Develop cutting-edge software and algorithms for computer vision, image processing, and deep learning models.
- Take technical responsibility for significant sections of assigned projects.
- Translate complex functional and technical requirements into detailed designs.
Required Skills:
- Master's or higher degree in Computer Science/Engineering or related disciplines.
- Professional software development experience with C++ and Python.
- Experience with machine learning frameworks such as TensorFlow and PyTorch.
- Expertise in image-based 3D reconstruction techniques like Photogrammetry, Neural Radiance Fields (NERF), or Gaussian Splatting.
- Excellent communication, teamwork, and problem-solving skills.
Desirable Skills:
- Experience in Generative AI and hands-on implementation of state-of-the-art models.
- Knowledge of computational photography, image inpainting, and 3D vision.
- Experience with model optimization and knowledge distillation.
- Familiarity with computer graphics and rendering (OpenGL, Vulkan, DirectX).
- Experience in Android application development.
Why Join Us?
- Work in a dynamic and forward-thinking environment.
- Opportunity to solve industry-relevant problems and work in production environments.
- Be part of a global leader in technology and innovation.
How to Apply:If you are passionate about AI and computer vision and want to be part of a team that is shaping the future of technology, we would love to hear from you. Apply now and take the next step in your career!
