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.