Research Scientist Intern, Imaging and Computer Vision (PhD)

Meta Reality Labs is looking for PhD-level interns to join our world-class team advancing imaging and computer vision technology for the next generation of AR/VR systems. In this role, you will work on cutting-edge research and development of novel algorithms, architectures, and tools to solve real-world problems in imaging and computer vision that integrate with specialized hardware. As a Research Scientist Intern, you will collaborate with cross-functional teams of researchers, engineers, and hardware specialists to design, prototype, and optimize innovative computer vision models and algorithms. You will play a key role in evaluating image and video quality, pushing the boundaries of machine learning models, and developing techniques that interact seamlessly with custom hardware to drive state-of-the-art performance. Our internships are twelve (12) to twenty-four (24) weeks long, and we have various start dates throughout the year.

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering, machine learning, computer vision or related field Experience in developing and implementing advanced algorithms for imaging, computer vision, or machine learning applications Experience in Python and/or MATLAB, and C++ Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or other related tools Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Intent to return to degree-program after the completion of the internship/co-op Proven track record of achieving significant results, as demonstrated by first-authored publications at leading workshops or conferences in imaging, computer vision, or machine learning (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) Experience with designing computer vision algorithms optimized for specialized hardware such as GPUs, DSPs, or custom ASICs Strong understanding of image and video quality metrics and evaluation methodologies Experience with software-hardware co-design and developing models that interact with low-level system components Ability to design new tools for data processing, visualization, and performance evaluation Familiarity with state-of-the-art techniques in computational imaging, video compression, 3D reconstruction, or AR/VR applications Experience working and communicating cross functionally in a team environment

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