Research Scientist Intern, Synthetic Image Generation (PhD)

Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance simulation, and AI image generation. We are accepting applications from those interested in (but not limited to) the following areas: - Synthetic image generation using deep generative models, computer graphics, or physics-based simulation. - High-Fidelity image synthesis including generation of high-resolution, realistic images of eyes and face with fine details. This includes techniques to enhance appearance and geometric realism of synthetic images. - Conditional image generation based on specific conditions or constraints, such as metadata, text-based categories, image masks, or a combination of multiple input modalities. - Controllable generation of image, enabling control over generated images of eyes and face by manipulating specific attributes like style, appearance, pose, lighting, and other semantic factors. - Cross-domain image translation from one domain to another while preserving important characteristics, such as style transfer, domain adaptation, or image-to-image translation. - Few-Shot or Zero-Shot Learning: Techniques that allow models to generate images with minimal or zero examples by leveraging prior knowledge or meta-learning approaches. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.