Research Scientist Intern, FAIR - Language &… at Meta · New York

Summary: Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams, committed to advancing Artificial Intelligence technologies. The role involves performing research in Natural Language Processing, Audio and Speech processing, Computer Vision, and Machine Learning, while contributing to Meta's product development. Responsibilities: - Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities) - 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 Required Qualifications: - Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent - 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 Preferred Qualifications: - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP) - Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language - 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) or Machine Learning (NeurIPS, ICML, ICLR) - Experience advancing AI techniques in Computer Vision and/or Machine Learning - 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 - Intent to return to degree-program after the completion of the internship/co-op Required Skills: Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, Python, C++, Data Analysis Benefits: Benefits