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Research Scientist Intern, Grounded Multimodal Understanding (PhD)

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Meta

Feb 12

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • London

Requirements

  • 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.

Responsibilities

  • 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.
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Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.