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:

1. Explore and experiment with emerging technologies to enhance AI-driven content reconstruction, creation, and editing processes.
2. Review state-of-the-art computer vision research papers and develop prototype solutions.
3. Develop cutting-edge software and algorithms for computer vision, image processing, and deep learning models.
4. Take technical responsibility for significant sections of assigned projects.
5. Translate complex functional and technical requirements into detailed designs.

Required Skills:

1. Master's or higher degree in Computer Science/Engineering or related disciplines.
2. Professional software development experience with C++ and Python.
3. Experience with machine learning frameworks such as TensorFlow and PyTorch.
4. Expertise in image-based 3D reconstruction techniques like Photogrammetry, Neural Radiance Fields (NERF), or Gaussian Splatting.
5. Excellent communication, teamwork, and problem-solving skills.

Desirable Skills:

1. Experience in Generative AI and hands-on implementation of state-of-the-art models.
2. Knowledge of computational photography, image inpainting, and 3D vision.
3. Experience with model optimization and knowledge distillation.
4. Familiarity with computer graphics and rendering (OpenGL, Vulkan, DirectX).
5. Experience in Android application development.

Why Join Us?

1. Work in a dynamic and forward-thinking environment.
2. Opportunity to solve industry-relevant problems and work in production environments.
3. 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.