Research Scientist Intern, AI Research - CoreML - World Models (PhD)

Position Overview

Meta is seeking Research Interns to join the SAM team in the Multimedia Perception org of Meta Superintelligence Labs. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in the areas of Generative Modeling, Computer Vision, Natural Language Processing, Machine Learning, and Deep Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Responsibilities

Perform research to advance the science and technology of generative AI. Perform research that enables learning to predict and condition on multimodal data (video, 3D structures, primarily images, text, and other modalities like audio) Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions Contribute to ongoing research projects and impactful technology releases Draft and polish research publications Present research outcomes to internal and/or external audiences

Requirements & Skills

Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Machine Learning, Artificial Intelligence, or relevant technical field Research and/or work experience in Generative Modeling and Computer Vision. In particular: video generation, 3D/4D reconstruction, video and image understanding, vision-language foundation models, representation learning, and related areas Research and/or work experience in Machine Learning or Deep Learning with applications to perception Experience in Python, C++, or other related languages Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment