Senior Computer Vision Research Engineer — Face Analytics & 3D Reconstruction

Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field. 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics. 5+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks. Solid Background in Computer Vision or Computer Graphics. Solid background in machine/deep learning fundamental knowledges and mathematics. Academic publications in computer vision research at top conferences and journals (PAMI, IJCV, NeurIPS, CVPR, ICCV, ICLR, ICML, etc.) Proficiency in C/C++ or Python programming. Education: Ph.D. - Computer Science or Electrical Engineering Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software. Expertise in various networks architectures such as DiT, U-Nets, ResNets, transformer, diffusion models. Experience in deep learning based high resolution face editing Experience in face analytics (attributes, accessories, etc) Experience in VLM Experience in data synthesis Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing. Excellent written and verbal communication skills. Track record of driving ideas from design through commercialization. Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems. Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization. Team Player. Master's in Computer Science, Engineering, Information Systems AI Frameworks, Calculus, Data Manipulation, Deep Learning, Computer Vision, Computer Graphics, Machine Learning, Performance Optimization, Python, Statistics. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.