GPU SW (OpenCL/CUDA) (Egham)

As a Computer Vision and Machine Learning Engineer, you will:

• Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the 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
• Have technical responsibility for one or more significant sections of the assigned project
• Translate complex functional and technical requirements into detailed design

Essential Skills

• Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines
• Professional software development experience with modern C++
• Experience with GPU compute in CUDA/OpenCL
• Excellent communication, teamwork and a results-oriented attitude
• Proficiency in problem-solving and debugging
• Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques.

Desirable Skills

Demonstrated experience in:

• Generative AI, including hands-on implementation of state-of-the-art models.
• 3-D vision
• Developing with machine learning frameworks – Tensorflow/Pytorch
• Model optimization and knowledge distillation.
• Strong fundamentals in machine learning, NLP and Computer Vision
• Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar)
• Experience in Android application development