Machine Learning Engineer

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