Currently is in the process of obtaining a PhD degree in computer science, electrical engineering, or related fields Experience in one or more areas of Computer Science, such as Computer Vision, Machine Learning, Vision-Language Models, Visual Localization Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as co-authored publications at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, or ICML Experience with modern C++ and/or Python Experience with deep learning frameworks such as PyTorch Intent to return to their degree program after the completion of the internship Interpersonal experience: cross-group and cross-culture collaboration Strong communication skills and ability to convey research ideas to a broad audience Research experience in visual localization, visual place recognition, image geolocalization, scene text recognition, or camera pose estimation Mathematical background in linear algebra, numerical optimization, and probabilistic estimation, and understanding of 3D geometry and camera models Experience training or fine-tuning vision-language models, including distillation, reinforcement learning, or efficient inference (for example quantization or structured outputs) Familiarity with map and place data, floor plans, or positioning signals such as GPS and Wi-Fi Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositoriesMeta builds technologies that help people connect, find communities, and grow businesses. As a Research Scientist Intern, you will help advance the state of the art in a fast, lightweight VLM driven visual localizer that reasons over semantic and geometric evidence in images and structured map representations, estimating where the image was taken: the place, the floor, and the camera's position and heading.