AI Researcher (Image Restoration & Enhancement)

Technical direction: Image Restoration & Enhancement Leveraging Sony’s world-leading sensor technology, Pentas Vision is committed to driving the deep integration of AI and sensor capabilities. We are seeking a highly skilled AI Researcher to lead cutting-edge research and applications in image restoration and enhancement, transforming academic innovations into real-world products. What you will be doing: • Research and develop state-of-the-art image processing algorithms, including but not limited to multi-frame fusion, denoising, deblurring, low-light enhancement, super-resolution, and HDR. • Develop, optimize, and deploy image quality algorithms to enhance imaging performance based on sensor data. • Design and implement algorithmic solutions using multimodal sensor data, and conduct proof-of-concept (PoC) development and validation. • Collaborate with cross-functional teams to drive the successful integration of algorithms into products and services.  What you should have:  • Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related field, with a focus on AI, computer vision, or image processing. • Strong knowledge of image processing and computer vision, with expertise in designing computationally efficient algorithms for mobile platforms. • Familiarity with deep learning architectures, with research experience in GAN or diffusion-based image generation, and hands-on experience in model training and optimization. • Proficiency in Python and C/C++, with strong experience using deep learning frameworks such as PyTorch or TensorFlow. • Excellent problem-solving skills, with strong curiosity, self-motivation, and a passion for tackling challenging research problems. • Strong teamwork and communication skills.  Preferred Qualifications: • Demonstrated impactful publications in top-tier AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and leading journals (e.g., TPAMI, JMLR).   • Proven track record of success in international academic competitions, including notable wins or awards.   • Industry experience in relevant fields (especially in AI, machine learning, or computer vision-related projects) is plus.