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🚀 Internship

Research Scientist Intern, Language & Multimodal Foundations (PhD)

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Meta

11d ago

🚀 Off-cycle Internship

San Francisco +2

AI generated summary

  • The ideal candidate for the Research Scientist Intern position at Meta should have a PhD or be in the process of obtaining one in Natural Language Processing, Machine Learning, or Artificial Intelligence. They should also have research and/or work experience in Natural Language Processing and Machine Learning, and proficiency in Python, C++, or related languages. Additionally, they should have a proven track record of achievements, experience with complex data analysis, and the ability to work collaboratively in a team environment.
  • As a research scientist intern at Meta, the candidate's day-to-day responsibilities will involve conducting research on learning data semantics across various modalities, collaborating with mentors to tackle challenging research problems, developing and implementing novel solutions, analyzing experimental results, publishing research findings, presenting outcomes to audiences, and contributing research for potential application in Meta's product development.

Off-cycle Internship

Software EngineeringSan Francisco, Seattle, New York

Description

  • Foundations teams. These teams are 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 Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement 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 Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, language modeling, pretraining, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and computer vision

Requirements

  • Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Machine Learning, Artificial Intelligence, or similar
  • 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
  • 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, ICASSP, NAACL)
  • 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, ICLR, AAAI)
  • 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

Education requirements

Currently Studying
PhD

Area of Responsibilities

Software Engineering

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 publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development

Details

Work type

Full time

Work mode

office

Location

San Francisco, Seattle, New York