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Meta · 1 day ago

Research Scientist Intern, FAIR - Multimodal LLM (PhD)

United States

Internship

Remote

Intern

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

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. The role involves conducting research on advanced topics in video and image generation, developing novel solutions, and contributing to Meta product development.

Computer Software

Comp. & Benefits

Responsibilities

Conduct research on advanced topics in video and image generation and understanding

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 for large-scale vision understanding, 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

Computer VisionMachine LearningDeep LearningPyTorchNatural Language ProcessingReinforcement LearningSpatio-temporal modelingTeam communicationResearch reportingOpen-source contributions

Required

Currently has or is in the process of obtaining a PhD degree in the field of Computer Vision, Machine Learning, Artificial Intelligence, Electrical Engineering, or equivalent

Solid research and project experience involving the application of computer vision algorithms and deep learning methods

Proficiency in deep learning frameworks such as PyTorch

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 Computer Vision and/or Machine Learning

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 in utilizing theoretical and empirical research to solve problems

Experience working and communicating cross functionally in a team environment

Intent to return to a degree-program after the completion of the internship/co-op

Experience working with large-scale datasets and compute infrastructure

A strong track record of contributions to open-source projects, benchmarks, or shared research artifacts