Research Scientist Intern, FAIR - Text Data Research (PhD) jobs in United States
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Meta · 2 days ago

Research Scientist Intern, FAIR - Text Data Research (PhD)

Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) Text Data Research team. The role involves contributing to data curation for Large Language Models and tackling challenges in data research, while collaborating with researchers and engineers.

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Comp. & Benefits

Responsibilities

Advance our understanding of data research, such as how to overcome data walls, how to improve data compute efficiency, and how best to create synthetic data
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 LearningLarge Language ModelsPythonPytorchData ProcessingC++Research CommunicationTeam Collaboration

Required

Currently has or is in the process of obtaining a PhD degree in the field of Large Language Models, Natural Language Processing, Machine Learning, Artificial Intelligence, or equivalent
Experience in Python, C++, or other related languages
Proven track record of achieving significant results as demonstrated by publications at leading conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, COLM)
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Language
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
Experience with large-scale data processing using e.g. pyspark
Experience with Pytorch
Intent to return to degree-program after the completion of the internship/co-op

Benefits

Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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