Logo of Huzzle


Research Scientist Intern, Language Generative AI (PhD)

Logo of Meta


2mo ago

🚀 Off-cycle Internship


AI generated summary

  • The candidate must have a Ph.D. in a relevant field, work authorization, experience in Python and other languages, and expertise in machine/deep learning. Preferred qualifications include a track record of significant results, cross-functional teamwork, contributions to open source libraries, and experience in AI techniques and data analysis.
  • The Research Scientist Intern will develop state-of-the-art generative AI algorithms, analyze efficiency and scalability, perform research to advance intelligent machine technology, collaborate with researchers and partners, and disseminate research results.

Off-cycle Internship

Software EngineeringLondon


  • Meta is seeking Research Interns to join our Generative AI efforts across modalities (images, video, 3D, audio, etc.) . We 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 generative modeling, deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.


  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Experience with Python, C++, C, Java or other related languages.
  • Experience building systems based on machine learning and/or deep learning methods.
  • Preferred Qualifications:
  • Intent to return to the degree program after the completion of the internship/co-op.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL or similar.
  • Experience working and communicating cross functionally in a team environment.
  • Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision.
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
  • Experience solving analytical problems using quantitative approaches.
  • Experience setting up ML experiments and analyzing their results.
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
  • Experience in utilizing theoretical and empirical research to solve problems.
  • Experience with deep learning frameworks.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques.
  • Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
  • Perform research to advance the science and technology of intelligent machines.
  • Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities).
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Disseminate research results.
  • When applicable, contribute to research that can be applied to Meta product development.


Work type

Full time

Work mode