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Meta · 14 hours ago

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

New York, NY

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. The role involves advancing the field of Artificial Intelligence through research in areas such as Natural Language Processing and Machine Learning, with responsibilities including developing novel solutions and presenting research outcomes.

Computer Software

Comp. & Benefits

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

Qualification

Natural Language ProcessingMachine LearningComputer VisionDeep LearningPythonC++Speech ProcessingReinforcement LearningTeam CommunicationResearch Experience

Required

Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent

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

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