As a 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
Skills and Qualifications
Required Skills:
-Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines
-Strong fundamentals in machine learning, NLP and Computer Vision
-First author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar)
-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
-Strong development skills with Python and/or C/C++ is required.
-Excellent communication, teamwork and a results-oriented attitude
-Proficiency in problem-solving and debugging
Desirable Skills:
-Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques.
-Model optimization and knowledge distillation.
-Professional software development experience with C++ and Python
-Experience in computer graphics and rendering: design and development of software such as OpenGL, OpenGL ES, Vulkan or DirectX
-Experience in Android application development
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