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🚀 Internship

Research Scientist Intern, Grounded Multimodal Understanding (PhD)

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11d ago

🚀 Off-cycle Internship


AI generated summary

  • The candidate must have a Ph.D. in Computer Vision or related field, experience with Python, building systems based on machine learning/deep learning, and a track record of significant results in research and publications.
  • The Research Scientist Intern at Meta will develop cutting-edge computer vision algorithms using deep learning techniques, analyze and improve algorithm efficiency and scalability, perform research on multimodal understanding, collaborate with partners, and contribute to research publications and product development.

Off-cycle Internship

Software EngineeringLondon


  • 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 deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale, and contribute to the next breakthrough in multimodal understanding.


  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Vision, Multimodal understanding, or relevant technical field.
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Experience with Python
  • Experience building systems based on machine learning and/or deep learning methods.
  • Preferred Qualifications:
  • Intent to return to 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 in computer vision, including core contributions to open source libraries and frameworks in computer vision.
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, applied mathematics, or data science.
  • 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 computer vision 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 that enables learning the semantics of data (images, video, text, audio, and other modalities), with strong emphasis on multimodality and open-world understanding.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Publish research results and contribute to research that can be applied to Meta product development.


Work type

Full time

Work mode