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Meta is seeking Research Interns to join Fundamental AI Research (FAIR) working on Multimodality. The team is 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 areas such as Computer Vision, Natural Language Processing, Core Machine Learning, and Deep Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our teams are looking for candidates with expertise in the Computer Vision, Natural Language Processing & Multimodality domains, such as: image understanding and generation, natural language understanding and generation, multimodal large language modeling, pretraining, question answering, cross-lingual and cross-domain transfer learning. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Job Responsibility:
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
Draft and polish research reports and/or publications
Present research outcomes to internal and/or external audiences
Contribute research that can be applied to Meta product development
Requirements:
Currently has or is in the process of obtaining a PhD degree in the field of Computer Vision, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field
Research and/or work experience in Computer vision
Research and/or work experience in Natural Language Processing
Research and/or work experience in Machine Learning or Deep Learning
Experience in Python, C++, or other related languages and with PyTorch framework
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Nice to have:
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV, Language (ACL, EMNLP, NAACL), and/or core Machine Learning (NeurIPS, ICLR, ICML)
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment