Qualcomm's Multimedia R&D computer vision Group is seeking passionate candidates with expertise in Computer Vision and Computer Graphics for an exciting Senior Machine Learning Engineer position. This role is at the forefront of developing advanced AI and deep learning solutions for embedded systems, smartphones, and extended reality applications.
The ideal candidate will bring deep expertise in computer vision or computer graphics, with proven experience in developing practical deep learning algorithms. You'll be working on cutting-edge projects including generative text-to-image/video models, face analysis, pose detection, and 3D reconstruction using state-of-the-art deep learning techniques.
Key responsibilities include designing and developing computer vision applications across multiple platforms, researching efficient deep learning architectures, and implementing AI-enabled camera and extended reality solutions. You'll be working with technologies like diffusion models, transformers, and various neural network architectures.
The position offers excellent growth opportunities, working alongside leading experts in the field. Qualcomm provides comprehensive benefits including world-class health coverage, financial planning support, and continuous learning opportunities. You'll be part of a team driving innovation in AI and computer vision, with the chance to contribute to products that impact millions of users globally.
Requirements include a Master's or PhD in relevant fields, strong programming skills in C/C++ and Python, and demonstrated expertise in deep learning frameworks. Publications in top conferences (CVPR, ICCV, NeurIPS) are highly valued. The role combines research innovation with practical implementation, making it ideal for candidates passionate about pushing the boundaries of AI and computer vision technology.
Join Qualcomm to be part of a team that's shaping the future of AI and computer vision technology, while enjoying excellent career growth opportunities and comprehensive benefits in a collaborative, innovation-driven environment.