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

Meta Platforms, Inc.•Menlo Park, CA

31d

About The Position

Meta is seeking Research Interns to join the SAM Worlds 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. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.

Requirements

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

Nice To Haves

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV), Speech & Language (ACL, EMNLP, ICASSP, NAACL), Machine Learning (NeurIPS, ICLR, ICML, AAAI) or Computer Graphics (SIGGRAPH)
Experience working and communicating cross functionally in a team environment
Experience advancing AI techniques, including contributions to open source libraries and frameworks
Experience in utilizing theoretical and empirical research to solve problems
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Intent to return to the degree program after the completion of the internship/co-op
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repo

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

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